a review of archival auditing research

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Author's Accepted Manuscript A Review of Archival Auditing Research Mark DeFond, Jieying Zhang PII: S0165-4101(14)00053-6 DOI: http://dx.doi.org/10.1016/j.jacceco.2014.09.002 Reference: JAE1035 To appear in: Journal of Accounting and Economics Received date: 3 September 2013 Revised date: 4 September 2014 Accepted date: 10 September 2014 Cite this article as: Mark DeFond, Jieying Zhang, A Review of Archival Auditing Research, Journal of Accounting and Economics, http://dx.doi.org/10.1016/j.jacce- co.2014.09.002 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. www.elsevier.com/locate/jae

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Page 1: A review of archival auditing research

Author's Accepted Manuscript

A Review of Archival Auditing Research

Mark DeFond, Jieying Zhang

PII: S0165-4101(14)00053-6DOI: http://dx.doi.org/10.1016/j.jacceco.2014.09.002Reference: JAE1035

To appear in: Journal of Accounting and Economics

Received date: 3 September 2013Revised date: 4 September 2014Accepted date: 10 September 2014

Cite this article as: Mark DeFond, Jieying Zhang, A Review of Archival AuditingResearch, Journal of Accounting and Economics, http://dx.doi.org/10.1016/j.jacce-co.2014.09.002

This is a PDF file of an unedited manuscript that has been accepted forpublication. As a service to our customers we are providing this early version ofthe manuscript. The manuscript will undergo copyediting, typesetting, andreview of the resulting galley proof before it is published in its final citable form.Please note that during the production process errors may be discovered whichcould affect the content, and all legal disclaimers that apply to the journalpertain.

www.elsevier.com/locate/jae

Page 2: A review of archival auditing research

A Review of Archival Auditing Research

Mark DeFond,* Jieying Zhang*

*University of Southern California

August 2014

Abstract:

We define higher audit quality as greater assurance of high financial reporting quality. Researchers use many proxies for audit quality, with little guidance on choosing among them. We provide a framework for systematically evaluating their unique strengths and weaknesses. Because it is inextricably intertwined with financial reporting quality, audit quality also depends on firms’ innate characteristics and financial reporting systems. Our review of the models commonly used to disentangle these constructs suggests the need for better conceptual guidance. Finally, we urge more research on the role of auditor and client competency in driving audit quality.

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Acknowledgement: This paper was presented at the 2013 Journal of Accounting and Economics conference. We are grateful to Jerry Zimmerman (editor) for his guidance, and to John Donovan, Richard Frankel, Josh Lee, Xiumin Martin, and Hojun Seo for their insightful discussion. We appreciate the comments and suggestions provided by Joseph Carcello, Jere Francis, Ronen Gal-Orr, Mingyi Hung, Clive Lennox, Inder Kahruna, Elaine Mauldin, Nate Newton, Kannan Raghunandan, Roger Simnett, Mike Stein, Meng Yan, Mike Willenborg, JAE conference participants, and workshop participants at Chinese University of Hong Kong, Boston College, Northeastern University, and the University of Missouri. We thank Karen Ton for her excellent research assistance.

Page 3: A review of archival auditing research

A Review of Archival Auditing Research

1. Introduction

Auditing is valued for its ability to provide independent assurance of the credibility of

accounting information, which improves resource allocation and contracting efficiency. The

growing complexity of business transactions and accounting standards increases auditing’s

potential to add value. In recent years, changes of unprecedented magnitude have fundamentally

altered the audit market landscape for both auditors and their clients. For the first time in history

the public accounting profession in the US is under direct government regulation. The result is a

sea change in the supply and demand dynamics of the audit markets, and a surge in research that

seeks to better understand the drivers of audit quality. The purpose of our review is to summarize

and critique the recent auditing research, and to provide direction for future research.

The archival auditing research empirically addresses auditing-related questions,

predominantly using economics-based methods of inquiry and analysis. We limit our review to

this literature because it is a burgeoning line of research and because we are constrained by our

expertise. We do not systematically review the auditing research that draws its inferences from

experiments, surveys, or theory. Our goal is to identify the fundamental questions being

addressed, what we have learned, inherent problems with the literature, and what needs to be

learned going forward. Our target audience is accounting researchers and Ph.D. students with a

general interest in understanding the auditing literature, and auditing researchers interested in an

economics-based review of the archival literature. Consequently, we limit the scope of our

review primarily to studies published in the major general interest accounting journals. We also

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2

restrict our review primarily to studies that are published from 1996 through mid 2013 in order to

focus on recent developments in the literature.1

We organize our review around an economics-based framework that examines the supply and

demand forces that shape the audit market. A dominant feature of the literature we review is its

primary focus on audit quality. As a result, we structure our discussion around the following four

questions: (1) What is audit quality? (2) What drives client demand for audit quality? (3) What

drives auditor supply of audit quality? and (4) What are the regulators’ concerns about audit

quality? We characterize the demand for audit quality as a function of client incentives and

competencies, and the supply of audit quality as a function of auditor incentives and

competencies. We separately examine regulators’ concerns because of the profound nature of the

recent regulatory changes in the US audit markets and the large volume of research motivated by

these changes. 2 Table 1 provides an outline of our review. 3

Our first set of observations comes from considering the question “What is audit quality?”

We observe that most of the commonly used definitions of audit quality portray auditing as a

binary process, whereby auditors either succeed or fail in detecting GAAP violations. In contrast,

we argue that auditors’ responsibilities extend well beyond the simple detection of “black and

white” GAAP violations, to providing assurance of financial reporting quality. This

responsibility arises from professional auditing standards that require auditors to consider “the

quality, not just the acceptability” of the client’s financial reporting (SAS 90). It is further

1 We focus our review on the major studies that exemplify trends in the literature, and do not necessarily include every study published during this time period. 2 While the literature focuses primarily on audit quality, it also examines the audit process and audit efficiency. Most of these studies, however, still have implications for audit quality. For reviews of the audit quality research from a different perspective than ours, see Francis (2004, 2011) and Knechel, Krishnan, Pevzner, Shefchik and Velury (2013). 3 We thank Donovan et al. (2014) for pointing out the inter-relatedness of our demand and supply factors. We classify papers based on demand and supply factors because it is a useful technique for grounding our review in a structured economic framework, and do not mean to oversimplify the complex interactive nature of audit markets.

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3

reflected in the audit opinion, which provides assurance that the “financial statements are fairly

presented in accordance with GAAP,” since fair presentation requires faithful representation of

the firm’s underlying economics (FASB 1980, SFAC No. 2). The auditor’s broad charge to

consider financial reporting quality is also consistent with court rulings that hold auditors liable

for misleading financial statements even when those statements strictly comply with GAAP.

Collectively, these arguments suggest that audit quality is a continuous construct that assures

financial reporting quality, with high quality auditing providing greater assurance of high quality

financial reporting.

Audit quality improves financial reporting quality by increasing the credibility of the

financial reports. Thus, audit quality is a component of financial reporting quality. While

difficult to define, financial reporting quality is also determined by the firm’s financial reporting

system, which maps its underlying economics into the financial reports; and the firm’s innate

characteristics, which determine its underlying economics. Together, the firm’s financial

reporting system and innate characteristics affect the quality of the pre-audited financial

statements, which constrain the achievable level of financial reporting quality. Accordingly, we

define higher audit quality as “greater assurance that the financial statements faithfully reflect the

firm’s underlying economics, conditioned on its financial reporting system and innate

characteristics.”

We also observe that while the literature uses a large number of proxies to measure audit

quality, there is no consensus on which measures are best, and little guidance on how to evaluate

them. To address this issue, we draw on the perspective we gain from our review to provide a

framework for choosing among and interpreting the commonly used proxies. We first note that

the proxies fall into two inherently different groups; outputs of the audit process, such as

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auditors’ going-concern (GC) opinions, and inputs to the audit process, such as auditor size. We

further classify the output-based measures into four categories – material misstatements, auditor

communication, financial reporting quality, and perceptions; and the input-based measures into

two categories – auditor characteristics and auditor-client contracting features (such as audit

fees). We then identify several dimensions that characterize each category’s unique strengths and

weaknesses. One dimension is how directly the auditor influences the proxies in each category.

Material misstatements, for example, are directly under the auditor’s influence, while perception-

based measures, such as the cost of capital, are a longer walk. Another dimension is whether the

proxies capture relatively more egregious audit failures, such as material misstatements, or

relatively less egregious earnings management, such as measured by high discretionary accruals

(DAC). Yet another dimension is whether the proxies capture actual or perceived audit quality,

where proxies such as earnings response coefficients (ERCs) capture perceived quality, and

measures such as restatements capture actual quality. Finally, we evaluate the proxies based on

measurement issues, such as whether measurement error is particularly problematic.

Based on our evaluation of these dimensions, we conclude that no single category paints a

complete picture of audit quality. We therefore recommend that when possible, researchers use

multiple proxies from different categories to take advantage of their strengths and attenuate their

weaknesses.4 However, because the proxies in each category reflect different dimensions of audit

quality, we do not necessarily expect agreement across categories. For example, while a given

threat to audit quality may lead to within-GAAP earnings management, as proxied by benchmark

beating, it may not rise to the level of an egregious audit failure, as proxied by a restatement.

4 We emphasize, however, that we do not recommend triangulating across all proxies, because it is neither practical nor desirable. Rather, we suggest comparing measures across the broad categories, which are few in number.

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Thus, we urge researchers to articulate the inferences that can and cannot be drawn from the

proxies they employ, which is currently missing from much of the literature.

Because it is inextricably intertwined with financial reporting quality, audit quality also

depends on firms’ innate characteristics and financial reporting systems. Therefore, it is critically

important for empirical models of audit quality to disentangle these constructs. The existing

models have evolved empirically in the absence of strong theoretical guidance, and are unlikely

to fully control for firms’ innate characteristics and financial reporting systems. This suggests

that the treatment effects identified in some of the existing models may be attributable to these

underlying constructs. Going forward, future research would benefit from more theoretical

guidance on disentangling the complex relation between audit quality and financial reporting

quality.

Our second set of observations is based on our review of the literature that examines the

client’s demand for audit quality. We begin by examining studies that address a fundamental

question that precedes virtually all other research in this review: does auditing add value? This

literature finds for example, that clients who voluntarily choose to be audited reduce their cost of

capital, consistent with auditing reducing information risk. 5 Also, GC opinions and auditor

changes inform stock prices. However, given the strong priors, it is not surprising that financial

statement audits add value, and thus it is unlikely that future research will make significant new

5 Donovan et al. (2014) conclude that analysts are uninterested in audit quality variation, based on evidence from a search of the term “audit” in conference calls and analyst reports. We believe their analysis is too limited to draw such a strong conclusion, and that it omits compelling evidence to the contrary. For example, the Institute of Certified Financial Analysts (ICFA), representing over 10,000 professionals, has filed comment letters that strongly support the PCAOB’s proposal to increase disclosure by auditors (http://pcaobus.org/Rules/Rulemaking/Docket034 /143.pdf). Further, an ICFA survey of its members finds that “72 percent of respondents said the auditor’s report is important to their analysis and use of financial reports in the investment decision making process” and “72 percent would like to see information on circumstances or relationships that might bear on the auditor’s independence” (http://www.cfainstitute.org/Survey/independent_auditors_report_survey_results.pdf). Collectively, we believe this evidence is consistent with analysts having an interest in audit quality variation.

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discoveries without venturing into new territory. Going forward, assurance services are rapidly

expanding beyond traditional financial statement audits, as evidenced by the recent growth in

voluntary “sustainability” audits. This raises many unanswered questions, such as whether

assurance of non-financial information adds value, whether auditors’ incentives and

competencies transfer to non-financial settings, and what audit quality means in these settings.

Also, a recently proposed US auditing standard requires auditors to discuss “critical audit

matters” and disclose information on auditor tenure and independence, and international standard

setters are considering similar innovations. Expanding beyond the current boilerplate audit

opinion will doubtlessly open up new avenues for further research.

We next examine studies exploring the client’s demand for audit quality. Theory suggests

that agency costs drive this demand, and while measuring agency costs is challenging,

researchers identify innovative settings to test this theory. While this literature generally finds

support, it is relatively small. We posit that the demand for audit quality is also a function of

client competency, which refers to the client’s ability to achieve its desired level of audit quality.

Motivated by the significant demand-side changes imposed by SOX, research on client

competency is one of the fastest growing areas we review. This research finds strong evidence

that independent and expert audit committees choose higher quality audit inputs, such as hiring

industry specialist auditors; and achieve higher quality audit outcomes, such as fewer

restatements and lower DAC. However, the literature that narrowly focuses on SOX-related

competencies is fairly saturated. To make further progress, researchers need to explore what

audit committees actually do. For example, we know nothing about how committees affect pre-

audited financial statement quality, or how they interact with external auditors. We also know

little about other client competencies. For example, research on the internal audit function (IAF)

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is still in its infancy. Interesting questions include whether IAF substitutes or complements the

external audit function, and whether outsourcing IAF impairs or improves audit quality. Given

the increased interest in demand-side factors, and the limited evidence, we call for more research

on how clients’ competencies help fulfill their demand for audit quality.

Our third set of observations is based on our review of the literature that investigates the

auditor’s supply of audit quality. Theory suggests that the supply of audit quality is a function of

the auditor’s independence and competency, where independence arises from reputation and

litigation incentives, and competency refers to the ability to deliver high audit quality. This

research finds that damaged reputation from extreme audit failures reduces client market value

and the auditor’s ability to retain clients. However, this research is based exclusively on rare

events and does not link reputation to actual audit quality. In addition, the US evidence is

confounded by litigation risk. Thus, despite strong priors, it is unsettled whether reputation

concerns improve audit quality, especially in the US. The research on auditor litigation finds

strong evidence that auditors engage in a variety of strategies to mitigate litigation risk, such as

charging higher fees, increasing GC opinions, reducing DAC, shedding riskier clients, and

lobbying for litigation relief. We observe, however, that clear evidence on whether these

strategies translate into improved audit quality is elusive. For example, while a large array of risk

factors are priced in audit fees, most studies are unable to distinguish whether higher fees are due

to more audit effort (consistent with higher audit quality), or simply a risk premium (which is a

deadweight loss). Similarly, while increased GCs and reduced DAC are consistent with higher

audit quality, they are also consistent with excessively conservative auditors seeking to avoid

litigation, which impairs audit quality. Thus, given the strong theoretical prediction that

reputation and litigation risk improves audit quality, we are surprised that the evidence is not

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more conclusive. Going forward, a potentially fruitful area is to more firmly establish whether

reputation and litigation risk actually translates into higher audit quality.

Auditor size, as captured by Big N membership, is often argued to capture stronger auditor

incentives, because reputation costs increase with size, and because larger auditors’ “deep

pockets” make them a target for litigation. Big N research is one of the most thoroughly

researched areas in the literature, and provides a mountain of evidence that Big N auditors

deliver higher quality as captured by a long list of proxies that span multiple categories of audit

quality. Thus, the Big N literature is fairly mature. Going forward, however, more evidence is

required to resolve the unsettled question of whether Big N quality differentiation is actually

driven by self-selection. We also encourage future researchers to focus less on whether Big N

improves audit quality, and more on why. In particular, in addition to stronger incentives, Big N

auditors also have greater competency in delivering high audit quality, due to advantages such as

their ability to attract higher quality inputs. Current research, however, does little to disentangle

the effects of incentives from the effects of competency. We therefore encourage more research

that investigates the effects of Big N competencies on audit quality.

While more limited than the research on auditor incentives, research on auditor

competencies finds that they improve audit quality, particularly industry specialization and Big

N office size. However, auditor competency encompasses many other dimensions, which are

currently under-researched. Going forward, we encourage more research on these other

dimensions, such as the traits of individual auditors, audit firm ownership structure, audit quality

control systems, and compensation schemes. We also believe it is valuable to study what auditors

actually do by examining features of the audit process, such as professional skepticism. While

field studies, surveys, and experiments have comparative advantages in audit process research,

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we encourage archival researchers to use creative settings and research designs to open up the

“black box.” Overall, we call for more research on the role of auditors’ competencies in driving

audit quality.

Our fourth set of observations comes from our review of the research that explores

regulators’ concerns about audit quality, an area that has mushroomed in recent years and

represents the single largest area we review. Most of this literature is motivated by the passage of

SOX.6 Studies that examine the overall effects of SOX find ambiguous results. This is probably

not surprising given the number of levers SOX pulls, and the difficulty in predicting how each

lever may affect audit quality. Studies examining individual SOX provisions, however, are more

definitive but also more nuanced. These studies find that regulatory intervention may improve

audit quality, but only in limited settings, and that in some settings it may impair quality. For

example, audit committee provisions increase audit quality, and adverse Section 404 audit

opinions trigger subsequent improvements in monitoring. However, banning non-audit services

(NAS) does not seem to affect audit quality, and tax-related NAS actually improves it. In

addition, studies examining potential threats to auditor independence find little evidence that

they impair audit quality. For example, long auditor-tenure and larger clients actually improve

audit quality, contrary to regulators’ long-held concerns. We observe that threats to audit quality

typically present a tradeoff between auditor independence and competency. For example, while

long tenure breeds familiarity that threatens auditor independence, it also increases client-

specific knowledge. Thus, finding that these threats do not impair audit quality, and even

improve it in some cases, is consistent with auditor competencies playing an important role in

explaining audit quality.

6 Similar legislation, such as IFIAR and CLERP9, motivated international auditing research.

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We conclude that it is premature to draw definitive conclusions from the SOX literature.

Much of this research is conducted during a relatively turbulent period when SOX is newly

implemented, while the effects of SOX may be realized slowly over time. It is also difficult to

evaluate the net benefits of regulatory change, because it is difficult to gauge the related costs.

Therefore, the social welfare implications are unclear. In addition, regulatory intervention, such

as PCAOB inspections, exacerbates the auditor’s exposure to litigation and reputation risk by

providing additional opportunities for auditor litigation and increasing reputation losses. Thus, a

major challenge is disentangling regulatory intervention from litigation and reputation risk.

Going forward, significant changes in the auditing environment highlight the importance of

research aimed at better understanding the effects of regulatory intervention.7 Prior to SOX,

regulatory intervention was infrequent and incremental, and typically resulted in new rules that

focused on increasing the auditor’s supply of audit quality. Post-SOX, the PCAOB’s routine

inspections make regulatory intervention frequent and direct, and SOX includes changes

designed to increase not only the auditor’s supply of audit quality but also the client’s demand

for audit quality. This shift represents a fundamental change in the risk dynamics of US audit

markets and suggests regulatory intervention is likely to play a large role in shaping audit quality

in the future. One barrier to understanding the effects of regulation is the lack of research on the

regulatory process. A fundamental unanswered question is whether the benefits of regulation

outweigh its costs. If it does, the next question is which regulatory regime is best. For example,

an alternative to the current US model is following an “IRS” model whereby regulators actually

perform the audit (PCAOB, 2007). However, while such a model may strengthen independence, 7 Donovan et al. (2014) suggest steering away from research motivated by regulation. The presence of regulation, however, is a defining feature of audit markets around the world, and the trend is toward more rather than less regulation (e.g., the elimination of self-regulation in the US and the establishment of the PCAOB). Since we do not foresee a realistic scenario whereby the audits of public companies are likely to be unregulated, we believe research on better understanding regulated audit markets is worthwhile.

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it may also weaken competency. Another alternative is an insurance model, whereby auditing

firms explicitly reimburse investor losses. The costs and benefits of these models are currently

unexplored.8

Our review makes several contributions. First, we define higher audit quality as greater

assurance of high financial reporting quality. This definition reflects the continuous nature of

audit quality, encompasses the auditor’s broad responsibilities, and explicitly acknowledges audit

quality as a component of financial reporting quality. While these features are implicitly assumed

in many audit quality proxies, they are missing from existing definitions, creating a mismatch

between the theoretical construct of audit quality and its empirical proxies. Second, we provide a

framework for systematically choosing among the commonly used audit quality proxies, and for

evaluating what we learn from their results. Existing research often lacks motivation for its proxy

choices, and provides little discussion of the advantages and disadvantages of the chosen proxies.

We also review the commonly used audit quality models and conclude that future research would

benefit from more conceptual guidance in disentangling the complex relation between audit

quality and financial reporting quality. Third, we observe that the literature traditionally focuses

primarily on the auditor’s supply of audit quality, with comparatively less attention to client

demand-side factors. While SOX has shifted this focus to some degree, we encourage future

researchers to continue expanding our knowledge of demand-side factors. Fourth, we note that

prior research generally focuses on the incentives that drive audit quality, with less attention to

competencies. Studies on client audit committee expertise and auditor industry specialization are

the exception, and we urge future researchers to explore additional factors related to competency. 8 Donovan et al. (2014) call for research on whether regulated audit quality exceeds the level demanded by investors and clients. We agree and believe that studying the optimal level of regulation is inherently interesting. Their call, however, also begs the question of whether audit quality falls short of the amount demanded by investors and clients. Our credibility as researchers depends upon our taking an impartial approach in asking both questions. In this vein, we emphasize that our review is agnostic on the question of whether regulation in audit markets is optimal.

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Finally, we observe a dramatically heightened risk of regulatory intervention targeting both

incentives and competencies of auditors to supply and clients to demand audit quality. Thus,

future research that seeks to better understand the regulatory process is critical for understanding

its effect on audit quality.

The remainder of this review is organized as follows: Section 2 discusses the question

“what is audit quality?” and Section 3 reviews the research that addresses “what drives client

demand for audit quality?” Section 4 examines the literature that investigates “what drives

auditor supply of audit quality?” and Section 5 reviews the literature that examines “what are the

regulators’ concerns about audit quality?” We summarize and conclude in Section 6.

2. What is audit quality?

Audit quality, in one context or another, is the focus of the majority of the auditing research

published over the past fifteen years. Its conceptual nature and relation to financial reporting

quality, however, are not well understood. In addition, while the literature uses a large number of

proxies to measure audit quality, there is no consensus on which measures are best, and little

systematic direction on the desirability or comparability of one proxy versus another. Thus, we

begin our review with a discussion of the conceptual nature and definition of audit quality,

followed by a discussion of the relation between audit quality and financial reporting quality. We

then present a framework for understanding and evaluating the audit quality proxies commonly

used in the literature. Our goal is to better understand the nature of audit quality and its relation

to financial reporting quality, and to provide guidance in choosing among the audit quality

proxies and interpreting their results.

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We view auditor-provided assurance services as an economic good (Simunic, 1980), and

argue that audit quality is determined by both client demand and auditor supply, which depends

upon the incentives and competencies of the client and auditor. The demand for audit quality

arises from client incentives, as determined by factors such as agency costs and regulation; and

the client competency in meeting this demand, as reflected in factors such as the audit committee

and the internal audit function. The supply of audit quality is affected by auditor incentives for

independence, as determined by factors such as reputation, litigation and regulatory concerns;

and auditor competency in supplying audit quality, as reflected in factors such as expertise and

engagement-level inputs to the audit process. Thus, variation across clients’ and auditors’

incentives and competencies lead to variation in audit quality. Importantly, regulatory

intervention plays a critical role in shaping both the incentives and competencies that drive client

demand and auditor supply of audit quality, and most of the research we review is motivated by

regulatory concerns. Thus, we separately consider the effects of regulatory intervention on the

demand and supply factors that affect audit quality. Figure 1 summarizes our framework for

viewing audit quality as a function of client demand and auditor supply, both of which are

affected by regulatory intervention.

2.1 Defining audit quality

Most studies define audit quality as some variation of “the market-assessed joint

probability that a given auditor will both detect a breach in the client’s accounting system, and

report the breach” (e.g., DeAngelo, 1981). While this definition motivates a large body of

research, it portrays auditing as a binary process, with the auditor’s role reduced to the simple

detection and reporting of “black and white” GAAP violations. While there is no doubt that

auditors are charged with assuring that the financial statements are free of material

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misstatements, we believe that this characterization understates the benefits of high audit quality,

which extend well beyond the simple detection and reporting of GAAP violations to assuring

financial reporting quality. In particular, we expect high quality auditors to consider not only

whether the client’s accounting choices are in technical compliance with GAAP, but also how

faithfully the financial statements reflect the firm’s underlying economics.9

The notion that the auditor’s responsibility extends to assuring financial reporting quality is

consistent with generally accepted auditing standards, which require auditors to evaluate

financial reporting quality. For example, Statement on Auditing Standards 90 requires auditors to

judge “the quality, not just the acceptability, of the company’s accounting principles as applied

in its financial reporting” (emphasis added) (Statement on Auditing Standards 90).10 Similarly,

Auditing Standard No. 14 requires auditors to “evaluate the qualitative aspects of the company's

accounting practices, including potential bias in management's judgments” (emphasis added)

(PCAOB, 2010b).11 These standards indicate that auditors are responsible for assuring a level of

financial reporting quality that exceeds mechanical compliance with accounting standards.

The auditor’s role in assuring financial reporting quality is also consistent with the audit

opinion, which provides reasonable assurance that the “financial statements are fairly presented

in accordance with GAAP.” This indicates that auditors are concerned with how GAAP is

applied, which consists of more than the rote application of rules. In particular, applying GAAP

requires professional judgment in making a myriad of estimates, the objective of which is to

9 Several regulators also address audit quality issues. In particular, the International Auditing and Assurance Standards Board (2013) proposed a framework for audit quality, focusing primarily on the audit process; and the Department of the Treasury’s Advisory Committee on the Auditing Profession asked the PCAOB to develop key indicators of audit quality (US Treasury, 2008), which the PCAOB plans to do (PCAOB, 2013b). 10 This requirement is further expanded by Auditing Standard (AS) No. 16, which increases auditors’ responsibilities to evaluate manager’s subjective judgments regarding critical accounting policies and practices (PCAOB, 2012a). 11 For example, AS 14 requires auditors to qualitatively assess whether quantitatively immaterial accounting errors would result in avoiding debt covenant violations, increasing management bonuses, turning losses into gains, meeting earnings expectations, or favorably affecting earnings trends.

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faithfully reflect relevant information about the firm’s underlying economic activities.12 This is

promulgated in SFAC No. 8, which specifies relevance and faithful representation as the two

fundamental qualitative characteristics of useful financial information (FASB, 2010).

Litigation risk also provides incentives for auditors to be concerned with financial reporting

quality. Consistent with auditing and accounting standards, courts hold that auditors must

consider substance over form. This is indicated in a US Supreme Court ruling that holds auditors

legally liable for misleading financial statements even when those statements are in strict

compliance with GAAP (Ball, 2009).13 This suggests that auditors are legally responsible for

how well the financial statements reflect the firm’s underlying economics, not just the

mechanical application of GAAP.14

The above arguments suggest that higher audit quality provides greater assurance of high

financial reporting quality. This implies that audit quality is a continuous construct, which at first

blush, appears inconsistent with the binary nature of the audit opinion. The audit opinion,

however, is not meant to indicate the level of audit quality. Rather, it communicates the auditor’s

assurance that the financial statements comply with GAAP. Audit quality refers to the quality of

the auditor’s opinion (i.e., assurance), not the opinion itself. The quality of the auditor’s opinion

can vary, with high quality auditors providing greater assurance that that the financial statements

faithfully reflect the firm’s underlying economics.

While high audit quality provides greater assurance of high financial reporting quality,

financial reporting quality is also a function of the firm’s financial reporting system and its

12 Consistent with auditing improving financial reporting quality, Lennox, Wu, and Zhang (2013) find that audit adjustments are associated with more earnings smoothness and persistence, and higher accrual quality. 13 U.S. v. Simon (425 F.2d 796, 1969), United States Court of Appeals Second Circuit; Argued April 18, 1969; Decided Nov. 12, 1969, Certiorari Denied March 30, 1970. 14 The UK audit opinion requires auditors to attest that the financial statements present a “True and Fair View,” which requires auditors to depart from GAAP when necessary (Livne and McNichols, 2009).

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innate characteristics. The financial reporting system, including internal controls, maps the firm’s

underlying economics into the financial reports. The firm’s innate characteristics are

characterized by its underlying economics, which are determined by its returns generation

process (Dechow, Ge and Schrand, 2010). Together, the firm’s financial reporting system and

innate characteristics affect how faithfully its financial reports reflect its underlying economics,

thereby constraining the achievable level of financial reporting quality. For example, ceteris

paribus, financial reporting quality is expected to be lower for firms with difficult to measure

innate characteristics, such as assets that consist primarily of investment opportunities, than for

firms with assets that consist primarily of tangible assets, regardless of the level of audit quality.

Thus, for purposes of this review, we adopt a definition of audit quality that reflects auditing’s

close association with financial reporting quality, and that considers the constraints imposed by

the firm’s financial reporting system and innate characteristics. Specifically, we define higher

audit quality as “greater assurance that the financial statements faithfully reflect the firm’s

underlying economics, conditioned on its financial reporting system and innate characteristics.”15

2.2 The relation between audit quality and financial reporting quality

This section makes several observations about the relation between audit quality and

financial reporting quality. One is that audit quality is a component of financial reporting quality,

because high audit quality increases the credibility of the financial reports. This increased

credibility arises through greater assurance that the financial statements faithfully reflect the

firm’s underlying economics. Audit quality, however, is not the only component of financial

reporting quality. Financial reporting quality is also affected by the quality of the pre-audited

15 Our definition of financial reporting quality is consistent with the definition of earnings quality in Dechow, Ge and Schrand (2010). However, to emphasize the auditor’s assurance responsibilities, we use the phrase “faithfully reflect the firm’s underlying economics” instead of “providing more information about the features of a firm’s financial performance.”

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financial statements, which are an input to the audit process. The quality of the pre-audited

statements is further determined by the firm’s financial reporting system, which maps its

underlying economics into the financial reports; and the firm’s innate characteristics, which

determine its underlying economics (Dechow, Ge and Schrand, 2010). Thus, financial reporting

quality (FRQ) is a function of audit quality (AQ), the quality of the firm’s financial reporting

system (R) and its innate characteristics (I). These relations can be described in notation form as:

� �, , (1)FRQ f AQ R I�

0 (2)FRQAQ

��

�We also observe that the firm’s innate characteristics affect the relation between AQ and

FRQ. Specifically, high AQ can only assure a level of FRQ that is achievable given the firm’s

innate characteristics, which constrain its financial reporting quality. For example, consider two

firms, one with innate characteristics that make it hard (IHard), and the other easy (IEasy), to map

its underlying economics into its financial statements. We graphically compare these two firms

in Figure 2. To focus on the effects of the innate characteristics, we assume their financial

reporting systems are identical. Figure 2 shows that high AQ assures a higher level of FRQ for

IEasy than for IHard, because the achievable level of FRQ is higher for IEasy than for IHard.16 Thus,

the firm’s innate characteristics constrain the assured level of financial reporting quality that

results from high audit quality. This can be described in notation form as:

� � � �, ,| | (3)Easy High Hard HighFRQ I AQ FRQ I AQ�

We further observe that the quality of the firm’s financial reporting system also affects the

relation between AQ and FRQ. This is because auditors may require adjustments to the pre-

audited financial statements before they are willing to assure their credibility. Ceteris paribus,

auditors require fewer adjustments for clients with high quality financial reporting systems, 16 We portray the lines in Figure 2 as linear as a simplifying assumption in order to emphasize our key points.

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because they have higher quality pre-audited financial statements. For example, consider two

firms. One has a very high quality financial reporting system (RHigh), such that a high quality

auditor requires no adjustments to the pre-audited financial statements. This firm may be viewed

as having “perfect” internal controls over financial reporting, which produce pre-audited

financial statements that cannot be improved upon. The other firm has a low quality financial

reporting system (RLow), such that a high quality auditor requires large adjustments to the pre-

audited financial statements. We graphically compare these firms in Figure 3. To focus on the

effects of the financial reporting system, we assume that their innate characteristics are identical.

In Figure 3, the improvement in financial reporting quality for RHigh derives solely from the

greater assurance provided by high audit quality. In contrast, the improvement in financial

reporting quality for RLow derives from both greater audit assurance, and the audit adjustments

required by a high quality auditor. Therefore, we observe from Figure 3 that high audit quality

results in a larger improvement in financial reporting quality for firms with relatively lower

quality financial reporting systems. More formally, the effect of the firm’s financial reporting

system (R) on the relation between AQ and FRQ can be described in notation form as:

| | (4)FRQ FRQRHigh RLowAQ AQ

� � � �� � � �� �� �

We also observe that audit quality is not independent of the other components of financial

reporting quality. In particular, managers are likely to choose the quality of the financial

reporting system in anticipation of the audit quality they expect the auditor to deliver. Thus, the

quality of the pre-audited financial statements is endogenous to the quality of the independent

audit. In addition, auditors are expected to explicitly consider the quality of the firm’s financial

reporting system and its innate characteristics in selecting clients, and in the audit planning

process. This is reflected in the audit risk model, where the auditor’s choice of effort is expressed

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as a function of the client’s inherent and control risk, which is equivalent to the firm’s innate

characteristics and the quality of its financial reporting system. However, while managers and

auditors base their decisions on expected quality, we observe that unexpected random errors also

affect the audit quality actually delivered. Thus ex post events may occur that lead to

undiscovered errors or frauds.

2.3 Measuring audit quality

In this section we evaluate the commonly used audit quality proxies, focusing on how well

they map into the theoretical construct of audit quality, and what we can learn from their unique

strengths and weaknesses. Audit quality is difficult to measure because the amount of assurance

auditors provide is unobservable. One way to infer audit quality is to consider outputs of the

audit process, such as GC opinions or financial reporting quality. Output-based proxies are

appealing because they attempt to measure the level of audit quality actually delivered. This is

why studies examining the effects of supply-side factors almost exclusively use output-based

proxies.17 An alternative way to infer audit quality is to consider audit inputs, such as auditor size

and audit fees. Input-based proxies are appealing because clients must choose audit quality based

on observable inputs. This is why studies examining the effects of demand-side factors almost

exclusively use input based proxies. Due to the inherent differences in output and input proxies,

we discuss them separately.

2.3.1 Output-based audit quality measures

In this section we evaluate the output-based audit quality measures commonly used in the

literature. An important feature of these measures is that they are constrained by the firm’s

17 Output-based proxies, however, are constrained by firms’ innate characteristics and confounded by the reporting system. Thus, it is important to control for client innate characteristics and internal controls over financial reporting in isolating the effects of audit quality.

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financial reporting system and innate characteristics. For example, firms with innate

characteristics that are easier to map into their financial reports are less likely to issue

restatements. Similarly, firms with better financial reporting systems have higher pre-audited

financial reporting quality, and thus are less likely to issue restatements. 18 Therefore, it is

important for researchers to disentangle the effect of audit quality from the effects of the firm’s

innate characteristics and the strength of its financial reporting system.

We begin this section by describing each measure and the types of studies that use it. We

then evaluate the measures along several dimensions that determine how well each proxy

captures audit quality. The principal dimensions we discuss are directness, egregiousness, actual-

versus-perceived, and several measurement-related dimensions. We define directness as the

extent to which the auditor influences, controls or is responsible for the output. Thus, this

dimension only applies to output measures. For example, the auditor has sole influence, control,

and full responsibility for the type of opinion. We define egregiousness as the severity of the

misconduct implied by the measure. For example, auditor-related AAERs capture relatively

egregious misconduct. The actual-versus-perceived dimension describes whether the proxy

attempts to measure actual audit quality, such as restatements, or perceived audit quality, such as

stock price reactions. Finally, we discuss a variety of measurement-related dimensions, including

discreteness, consensus on the measurement, and measurement error. We discuss the output

proxies in descending order of their directness, as summarized in Table 2.

2.3.1.1 Material misstatements

The two misstatement measures most commonly used in the literature are restatements

and Accounting and Auditing Enforcement Releases (AAERs). Accounting restatements correct

18 Figure 2 and 3 illustrate these points.

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misstatements in previously issued financial statements. Restatements are used in a variety of

research settings, including tests of whether audit quality is associated with non-audit service

fees (NAS), audit committee characteristics, and auditor industry specialization.19 AAERs are

enforcement actions concerning civil lawsuits brought by the SEC in a federal court or

administrative proceeding. AAERs are used relatively infrequently, probably because they are

rare (e.g., Lennox and Pittman, 2010b). Most studies also restrict their analysis to AAERs that

target the auditor or capture fraudulent accounting.20

Restatements and AAERs are very direct and egregious measures of audit quality because

they indicate that the auditor erroneously issued an unqualified opinion on materially misstated

financial statements. These proxies attempt to measure actual audit quality using an output of the

audit process. In addition, they are typically measured as discrete variables, with relatively high

consensus on their measurement, and thus have relatively low measure error. A major advantage

of restatements and AAERs is that they are usually strong evidence of poor audit quality. A

subset of restatements and AAERs identify the presence of management fraud, which is an

advantage because many users and regulators believe that fraud prevention is the auditor’s first

priority.21

There are also several disadvantages of these measures. One major limitation is that the

absence of a restatement or AAER cannot be interpreted as high audit quality. This is because

low quality audits may prevent egregious failures, which are captured by restatements and

AAERs, but fail to prevent less egregious within-GAAP earnings management. In addition,

material misstatements allowed by low-quality audits may simply go undetected. Another 19 E.g., Kinney, Palmrose and Scholz (2004), Archambeault, DeZoort, and Hermanson (2008), Chin and Chi (2009). 20 Researchers also often exclude immaterial restatements, and Hennes, Leone, and Miller (2008) show that it is important to distinguish errors from irregularities in restatement. 21 Auditing standards require auditors to formally assess fraud risk, and to gain reasonable assurance that fraud does not result in material misstatements (SAS 99). However, absolute assurance is prohibitively costly.

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limitation of restatements and AAERs is that they are relatively rare events, which limits their

statistical power and makes them impractical when sample sizes are relatively small. Lastly, it is

important to acknowledge that auditors only provide “reasonable assurance” that the financials

are free of material errors, and even high quality audits may not catch highly elaborate well-

concealed fraud. As a result, it is important to control for the firm’s innate risks that are beyond

auditor’s control.

2.3.1.2 Auditor communication

The audit opinion is currently the auditor’s only direct communication with shareholders

about the audit process and its outcome. 22 GC modified audit opinions communicate the

auditor’s evaluation of whether there is substantial doubt about the client's ability to continue as

a going concern. 23 Managers have incentives to pressure auditors to issue clean opinions because

GCs impose costs on the client. Succumbing to this pressure impairs auditor independence, thus

reducing audit quality.24 GC opinions are used to capture audit quality in a variety of settings,

particularly in tests of perceived threats to audit quality, such as those potentially posed by NAS,

client size, and auditor tenure. GCs are also used in tests of whether audit quality is associated

with litigation risk, and Big N office size.25

GCs are very direct measures of audit quality because the audit opinion is the auditor’s

responsibility and directly under his or her influence and control. Failure to report a GC when

22 GCs are the only modified opinions accepted in public company filings with the SEC, although US auditing standards allow “qualified” opinions (for scope limitations), or “adverse/disclaimer” opinions (for deviations from GAAP or the absence of evidence to form an opinion) for private firms. 23 Modified Audit Opinions are typically used as an alternative to GCs in foreign jurisdictions, since audit reporting requirements differ from those in the US. (e.g., Chan and Wu, 2011). 24 Consistent with this, GCs lead to a greater incidence of auditor switching, which provides an incentive for auditors to report fewer GCs in order to retain clients (Krishnan, 1994). 25 For examples of threat studies see DeFond, Raghunandan, and Subramanyam (2002), Reynolds and Francis (2001), Carey and Simnett (2006). For examples of litigation and office size, see Lennox and Li (2012), Francis and Yu (2009).

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one is warranted means the auditor issued the wrong audit opinion, which is an egregious audit

failure and evidence of poor audit quality.26 GC proxies attempt to measure actual audit quality

based on an output of the audit process. Because the audit opinion is the auditor’s direct

communication with financial statement users it is a highly salient output of the audit process.27

Finally, GCs are discrete measures, with relatively high consensus on their measurement, and

relatively low measurement error.

GCs have several advantages in measuring audit quality. First, failing to appropriately

issue a GC is a clear indication of low audit quality (holding measurement issues aside).28

Second, the GC opinion formulation process is a setting that allows direct insights on auditor

independence. This is an advantage because auditor independence is a necessary condition for

auditing to have value (Watts and Zimmerman, 1983).

GC opinions also have several limitations. One is that, like restatements and AAERs, the

egregious nature of GCs means that they are not useful in capturing more subtle compromises in

audit quality. GCs are also relatively rare and exclusively issued to financially distressed clients.

This reduces statistical power in tests using large samples of healthy firms. While researchers

often restrict their analysis to distressed firms to increase power, it reduces generalizability.

Another limitation is that GCs reflect a fairly narrow aspect of the auditor’s role, and do not fully

capture the broad value of auditing. Finally, while the literature interprets more GCs as greater

auditor independence, more GCs may also indicate excessive auditor conservatism, which

arguably reduces audit quality. Auditors have incentives to issue more GCs than are appropriate 26 Arguably, however, failing to warn investors of going concern problems is not as egregious as allowing a material misstatement (which also involves issuance of the wrong audit opinion). 27 Additional auditor communication comes from the auditor’s opinion on internal controls over financial reporting. 28 It is not trivial to determine whether a GC is appropriate. Researchers often control for measures of financial distress, which themselves are subject to manipulation. Earnings overstatements may lead auditors to conclude that a GC is inappropriate when it is. A small minority of studies, however, examine the frequency of Type II errors (e.g., Robinson, 2008).

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because they reduce the auditor’s liability in court (Kaplan and Williams, 2013).29 The risk of

erroneously interpreting excessive auditor conservatism as increased audit quality is a problem

that affects all output-based audit quality proxies, including restatements and DAC. However,

clients have incentives to resist excessive auditor conservatism by dismissing overly

conservative auditors (DeFond and Subramanyam, 1998).

2.3.1.3 Financial reporting quality characteristics

Its close link with audit quality makes financial reporting quality an intuitively appealing

proxy. While financial reporting quality is conceptually broad, auditing researchers primarily use

earnings quality measures that are designed to detect opportunistic earnings management. This is

motivated by the assumption that high quality auditing constrains opportunistic earnings

management. The most frequently used measures are based on the Jones (1991) discretionary

accruals (DAC) model (e.g. Becker, DeFond, Jiambalvo, and Subramanyam, 1997; Francis,

Maydew and Sparks, 1999). Studies also use meet or beat earnings targets, the Dechow and

Dichev (2002) accruals quality measure, and Basu (1997) timely loss recognition (TLR).30

Financial reporting quality proxies are less direct than restatements or GCs, because the

auditor’s influence on reporting quality is likely to be relatively more limited. Measures such as

DAC do not directly identify GAAP violations, and thus are relatively less egregious when

compared to restatements and AAERs. Like restatements and GCs, the financial reporting quality

proxies are also attempt to measure actual outputs of the audit process (i.e., the audited financial

29 Early studies find mixed evidence that GCs reduce auditors’ litigation exposure (Carcello and Palmrose, 1994; Lys and Watts, 1994). However, these studies do not control for endogeneity. 30 Less frequently used measures include specific accruals such as claim loss reserves in the insurance industry (Petroni and Beasley, 1996; Gaver and Paterson, 2007) or loan loss provisions in financial institutions (Kanagaretnam, Krishnan, Lobo 2010), audit-adjustments (Kinney and Martin, 1994), and management and analyst forecast accuracy (Behn, Choi and Kang, 2008; Ball, Jayaraman and Shivakumar, 2012).

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statements). Finally, most financial reporting quality measures are continuous, but with little

consensus on their measurement and high levels of measurement error.

Financial reporting quality measures have several advantages that make them especially

attractive candidates for capturing audit quality. One is that audit quality is a component of

financial reporting quality. Theoretical motivation for these measures comes at least partially

from the observation that financial statements are a joint product of both the manager and the

auditor (Magee and Tseng, 1990; Dye, 1991; Antle and Nalebuff, 1991). Thus, financial

reporting quality measures are conceptually well suited for measuring audit quality, where higher

audit quality is defined as greater assurance that the financial statements faithfully reflect the

firm’s underlying economics conditioned on the its financial reporting system and innate

characteristics.

Another advantage of the financial reporting quality measures is that they are expected to

detect “within GAAP” earnings manipulation, for example to meet earnings targets. As noted by

former SEC Chairman Arthur C. Levitt, while this kind of earnings management impairs

financial reporting quality by misleading investors, it does not rise to the level of a material

misstatement (Levitt, 1998). Thus, within-GAAP manipulation is likely to represent the

“qualitative aspects of management’s accounting choices” that reflect “potential bias in

management's judgments” that auditing standards require auditors to evaluate (PCAOB, 2010b).

In addition, while proxies such as DAC do not directly capture egregious misstatements, DAC is

associated with AAERs (Dechow, Sloan and Sweeney, 1996), and thus captures the increased

likelihood of more extreme misstatements. Yet another advantage is that their continuous nature

captures variations in audit quality even in studies that are restricted to relatively small samples,

and within the subset of clients who do not have egregiously poor audit quality. This contrasts

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with restatements and GCs, whose infrequent occurrence requires large samples, and whose

discrete nature masks any variation in audit quality among clients without restatements and GCs.

An especially salient disadvantage of the financial reporting quality measures is that they

tend to have high measurement error and even bias.31 This is particularly true for DAC and

accounting conservatism.32 For example, average absolute DAC can range from 4% to 10% of

total assets, depending on the estimation model and sample (Gul, Fung, and Jaggi, 2009; Reichelt

and Wang, 2010), which seems too large to be plausibly explained by earnings management

alone. Therefore, it is important for future research using these measures to exercise caution.

There is also often little consensus on how these proxies should be measured. For example, DAC

can be measured using an absolute value, a signed value, the Jones model, the modified Jones

model, and/or performance matching.33 Finally, financial reporting quality is determined by

many factors and audit quality is just one component. Thus, it is important to control for the

other factors that explain financial reporting quality.

2.3.1.4 Perception-based measures

These measures include investors’ perceptions, such as earnings response coefficients

(ERCs), the stock market reaction to audit-related events, and the cost of capital. ERCs are often

used to assess questions such as whether perceived threats impair audit quality, and whether Big

N auditors provide higher quality. Stock market reaction tests are used in assessing events such

as auditor changes and the issuance of GCs. The cost of debt and equity are used to address

questions such as whether Big N auditors provide higher quality and whether perceived threats

31 While measurement error biases against erroneously finding significant associations, this is problematic because it is common in this literature to draw conclusions on insignificant associations. For example, several studies interpret the absence of an association between NAS and DAC as evidence that NAS does not pose a threat to audit quality. 32 Kothari, Leone, and Wasely (2004), Dietrich, Muller, and Riedl (2007), Patatoukas and Thomas (2011), Ball, Kothari, and Nikolaev (2013). 33 Lennox, Wu, and Zhang (2014) provide a detailed discussion on the tradeoffs between signed and absolute DAC.

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impair audit quality.34 Researchers also infer audit quality from changes in auditors’ client

market share, which can be viewed as audit committees’ perceptions. For example, client market

share changes can result from audit committees dismissing the auditor.35 These measures are

typically used to test whether an event, such as an audit failure, impairs the auditor’s ability to

attract and retain clients, and to charge an audit fee premium. Although fewer in number, studies

also examine shareholder’s perceptions as reflected in proxy votes, and insurers’ perceptions as

reflected in auditor insurance premia.36

The perception-based measures are relatively indirect compared to the other output-based

measures. This is particularly true for measures of investor’s perceptions, because the auditor’s

influence over firm value is comparatively small relative to the multitude of other firm-level and

economy-wide factors. This suggests that it is critical for researchers to control for these

potentially omitted correlated variables. Egregiousness can be inferred from tests that use

perception-base measures. For example, a relatively larger stock market reaction or larger loss of

client market share is consistent with a more egregious audit failure. In terms of measurement,

most perception-based proxies are continuous, with wide variation in the consensus on their

measurement and the degree of measurement error. For example, short-window market reaction

measures have strong consensus and low measurement error, while cost-of-capital measures have

relatively less consensus and high measurement error.

34 For examples of perceived threat and Big N studies, see Francis and Ke (2006) and Teoh and Wong (1993). For market reaction, see Griffin and Lont (2010) and Menon and Williams (2010). For cost of capital, see Pittman and Fortin (2004), Mansi, Maxwell and Miller (2004). 35 We also include PCAOB inspection reports as another perception-based measure because they effectively reflect the PCAOB’s perception of audit quality. However, PCAOB inspections differ from the other perception-based measures because they are based on inspectors’ factual assessments of the auditor’s actual procedures. Thus, they may also be viewed as direct assessments of the quality of the inputs to the audit process. 36For examples of client retention, see Weber, Willenborg and Zhang (2008). For examples of proxy votes, see Raghunandan (2003). For examples of insurance premia, see Casterella, Jensen, and Knechel (2009 and 2010), Choi, Kim, Liu and Simunic (2008).

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Perception-based measures have several unique advantages over other output-based

measures. One is that they capture audit quality more comprehensively than actual output

measures. For example, measures such as restatements capture material earnings misstatements.

This contrasts with measures such as firm value, or change in client market share, which

conceptually capture additional dimensions of audit quality, such as disclosure quality, an

element of the financial statements that help investors interpret reported earnings. Another

advantage is that they are continuous, and thus capture both egregious failures as well as more

subtle variations in audit quality. In addition, investor related perception-based measures, ceteris

paribus, capture the net benefits or costs associated with audit quality. This means that the

effects of a particular audit market innovation may reduce firm value even if it improves audit

quality as reflected in financial reporting quality. Finally, changes in client market share can be

viewed as uniquely capturing the audit committee’s perception of audit quality.

The biggest disadvantage of these measures is that they are relatively indirect, because

financial reporting quality usually only has a second order effect on firm value (Zimmerman,

2013). There is also a large variation across these proxies in terms of how directly they capture

audit quality. For example, measures such as cost of capital are much less direct than the market

reaction measures, which focus very narrowly on individual audit-related events. There is also

relatively less consensus on how to measure the cost of capital relative to the other market-based

measures, and more error in measuring it. Thus, tests using the cost of capital measures are likely

to have less power than those employing the other market-based measures.

2.3.2 Input-based audit quality measures

Input-based measures evaluate audit quality using observable inputs to the audit process.

However, because inputs may not directly translate into outputs, they are relatively noisy audit

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quality measures. In this section we discuss the two categories of input-based proxies commonly

used in the literature: auditor-specific characteristics such as auditor size (captured by Big N

membership) and industry specialization, and auditor-client contracting features such as audit

fees.37 We begin by describing each measure and the types of studies that tend to use it. We then

evaluate the unique strengths and weaknesses of each measure, including issues related to

measurement. Because input-based proxies do not capture auditor misconduct and are all based

on actual observed characteristics, they do not vary on the dimensions of directness,

egregiousness, or actual-versus-perceived quality.

2.3.2.1 Auditor characteristics

Auditor size, usually measured as Big N membership, is used to proxy for audit quality

because large auditors are expected to have stronger incentives and greater competencies to

provide high audit quality (DeAngelo, 1981). Auditor industry specialization, usually measured

by client industry concentration, is used to proxy for audit quality because specialist auditors are

expected to have greater competency and stronger reputation incentives to provide high audit

quality. The literature typically uses these measures as dependent variables to examine factors

that drive client demand for audit quality (e.g., Wang, Wong and Xia, 2008). However, there is

also a large literature that uses these measures as independent variables to examine whether

auditor characteristics affect the supply of audit quality (e.g., Lennox and Pittman, 2010b).

A distinguishing feature of these measures is that they are not engagement-specific. In

particular, Big N and industry specialization are fixed characteristics of the auditor, at least over

a reasonable horizon. This contrasts with the other audit quality proxies, such as GC opinions,

37 While less frequent, other input-based measures are also used, including NAS and employment of former audit employees (e.g., Abbott, Parker, Peters, and Raghunandan, 2003a; Lennox and Park, 2007). However, it is unclear whether these measures actually capture lower audit quality (see Section 5).

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which auditors can adjust in response to changes in their incentives. A consequence of this

difference is that auditors are unable to use Big N membership, or industry specialization as

choice variables in determining the level of audit quality they supply. While an auditor cannot

realistically improve audit quality by becoming a Big N or industry specialist over a short

horizon, clients on the other hand can improve audit quality by choosing a Big N or industry

specialist auditor. Thus, these measures are most useful in studies that examine the client’s

demand for audit quality.

A major strength of the Big N proxy is its relatively high construct validity. Specifically,

Big N is associated with almost all of the other audit quality proxies. A strength of industry

specialization is that it provides a measure of quality variation within Big N auditors. This is a

benefit because this finer partitioning allows researchers to address questions that pertain to

within Big N quality differences. A major limitation of these proxies is that they are typically

measured dichotomously, which implicitly assumes a homogeneous level of audit quality within

each group (Clarkson and Simunic, 1994).38 As a consequence, and similar to restatements,

AAERs, and GC opinions, Big N and industry specialization fail to capture relatively subtle

variations in audit quality. Auditor industry specialization also suffers from a lack of consensus

on its measurement (Neal and Riley, 2004), suggesting that specialization captures audit quality

with relatively large measurement error.

2.3.2.2 Auditor-client contracting features

Information on audit quality may also be inferred from auditor-client contracting features,

such as audit fees. Audit fees are used to proxy for audit quality because they are expected to

measure the auditor’s effort level, which is an input to the audit process that is intuitively related

38 On the other hand, if the relation between auditor size and audit quality is not linear, then it is possible that a dichotomized measure reduces measurement error.

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to audit quality.39 A distinguishing feature of audit fees is that they are the outcome of both

supply and demand factors. Auditors cannot unilaterally charge higher fees for additional effort

unless there is a corresponding increase in client demand for the additional effort. As a result,

audit fees are used in both demand and supply studies. For example, in demand studies, audit

fees are often used to test whether audit committee competencies are associated with audit

quality. In supply studies, audit fees are most commonly used to test whether audit quality is

associated with litigation risk, and whether Big N or industry specialist auditors are associated

with audit quality.40

Audit fees have several advantages in measuring audit quality. One is that they are

continuous and thus capture subtle variations in quality. Another is that the literature has

developed relatively sophisticated fee models with R-squares often exceeding 70%, which to

some extent alleviates concerns about correlated omitted variables. 41 Audit fees also have

drawbacks that limit the interpretability of their results. One is that in addition to capturing audit

effort, fees also capture risk premia and improved audit efficiency (discussed in Section 4). This

is a critical limitation because it means that an increase in audit fees cannot be unambiguously

interpreted as an increase in audit quality. A further limitation is that fees capture the joint

outcome of both supply and demand factors. Thus, researchers must take particular care in

interpreting the results from fee studies.

2.3.3 Commonly used audit quality models

39 While audit hours are potentially another input-measure of quality (e.g., Deis and Giroux, 1992), data availability is a major limitation. We discuss studies that use audit hours to capture audit effort (and hence quality) in Section 4. 40 For examples of demand studies, see Engel, Hayes, and Wang (2010). For examples of supply studies, see Seetharaman, Gul, and Lynn (2002), and Chaney, Jeter, and Shivakumar (2004). 41 While correlated omitted variables are always a concern with models that attempt to explain audit quality, it is a relatively larger concern when we know little about the factors that explain a particular measure.

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Because it is inextricably intertwined with financial reporting quality, audit quality also

depends on firms’ innate characteristics and financial reporting systems. Therefore, it is critically

important for models that empirically test audit quality to disentangle these constructs. In this

section we illustrate how some of the commonly used audit quality models control for firms’

innate characteristics and financial reporting systems. Table 3 reports four models commonly

used in tests of the following audit quality proxies: GCs, DAC, audit fees, and Big N. The top

row of Table 3 lists the control variables that are typically used in these models and the second

row reports some of the studies that use these models. We emphasize, however, that these control

variables are provided for illustrative purposes only. Most studies include additional control

variables, because each treatment variable has its own set of potentially omitted correlated

variables. While the control variables in Table 3 may provide a starting point, they are by no

means comprehensive.

The models in Table 3 are typically structured as follows:

� �1

( )n

i ii

AQ Treatment variable Control variable� � � ��

� � � � � ��For example, several studies examine whether NAS impairs audit quality, where audit

quality is proxied by the auditor’s propensity to issue a GC. These studies typically use a logit

model that regresses a GC indicator variable (AQ) on a dummy variable that captures whether

the auditor provides NAS (Treatment variable), and several control variables. Finding a

significantly negative coefficient on NAS is interpreted as evidence of reduced audit quality.

Table 3 reports the control variables commonly used in the GC models. These control variables

originate with research that attempts to explain the auditor’s decision to issue a GC opinion (e.g.,

Mutchler, Hopwood, Mckeown, 1997). They capture factors that threaten the client’s ability to

continue as a going concern, such as high bankruptcy risk and poor ROA, and factors that

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mitigate this threat, such as expected future financing. When GC is used to proxy for audit

quality, these variables control for potentially omitted variables that are correlated with NAS.

It is notable that many of the control variables in Table 3, such as size and leverage, are

also likely to be correlated with firms’ innate characteristics and financial reporting systems.

However, fundamental constructs such as innate characteristics and financial reporting systems

are challenging to identify and measure. The existing models have evolved empirically in the

absence of strong theoretical guidance, and are unlikely to fully control for these fundamental

constructs. This suggests that some of the identified treatment effects from the existing models

may be attributable to firms’ innate characteristics and financial reporting systems. Consistent

with a high risk of omitted correlated variables, some of the audit quality models have relatively

low R-squares. For example, based on the studies cited in Table 3 that use US data, DAC models

have R-squares in the range of 8 to 46 percent.42 Going forward, future research would benefit

from more conceptual guidance in disentangling the complex relation between audit quality and

financial reporting quality.

2.3.4 Which audit quality measures are best?

Several important observations can be drawn from our examination of the commonly used

audit quality proxies. One is that while all of the measures have their strengths, they also suffer

from important weaknesses. In fact, some of the proxies with the greatest strengths also suffer

from the worst weaknesses. For example, while restatements and AAERs rank high in terms of

directly capturing audit quality, and have little measurement error, they are rare, which limits

their usefulness to large-sample studies. This contrasts with DAC, which is farther from the

auditor’s influence, and suffers from serious measurement issues, but can be measured for a wide

42 We note, however, that this is less of a concern in audit fee models, which have R-squares in the range of 71 to 87 percent.

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variety of firms and settings. Nevertheless, output-based measures are constrained by firms’

financial reporting systems and innate characteristics, thus it is important to control for these

effects in isolating audit quality. Our review of the models commonly used to disentangle these

constructs suggests the need for better conceptual guidance.

Another observation is that many of the proxy categories have complementary strengths.

This suggests that there are benefits from comparing measures across categories, rather than

within categories. For example, while restatements and GCs are particularly well suited for

detecting egregious misreporting, DAC is intended to detect within-GAAP manipulations. Thus,

comparing measures at opposite ends of the “egregiousness” spectrum provides evidence on

whether a particular variable of interest has a large or a small effect on audit quality.

Analogously, when actual quality measures suffer from measurement problems or causality is in

question, market-based measures such as the stock price reaction have the potential to provide

evidence that does not suffer from these problems. In contrast, within-category comparisons,

such as between DAC and meeting or beating benchmarks, do not confer the same benefits. In

addition, within-category proxies are more likely to have correlated biases as compared with

proxies across categories.43

The overriding objective in choosing audit quality proxies is to use measures that are most

appropriate for the research setting. In evaluating appropriateness, one broad consideration is

whether the study examines the demand or supply of audit quality. Output-based measures are

usually best suited for tests that examine the supply of audit quality, while input-based measures

are usually best suited for tests that examine the demand for audit quality. However, based on

our evaluation, it is obvious that no single proxy is capable of painting a complete picture of

43 For example, if both DAC and the propensity to meet or beat earnings targets are biased, and the biases are correlated, using both measures may reinforce an incorrect inference.

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audit quality. Thus, for supply studies, we recommend choosing measures across the four output

measure categories when it is feasible. Comparing across categories provides a more

comprehensive understanding of the effect on audit quality than comparing within a given

category. We recognize that it is neither practical nor desirable to use all possible measures in a

single study. However, this is not likely to be a major constraint to our recommendation as there

are only four output categories. We also note that this is a practical strategy as evidenced by

several studies that effectively adopt this approach (e.g. Lennox and Li, 2012; Dao,

Raghunandan, and Rama, 2012). Finally, we urge researchers to evaluate and carefully articulate

the inferences that can and cannot be inferred from the proxies based on their unique strengths

and weaknesses. Currently, the literature often lacks such discussion.

3. What drives client demand for audit quality?

In this section we review and critique the research that investigates the client demand for

audit quality. We divide this section into two parts. The first part discusses the research on a

fundamental question that precedes virtually all of the subsequent research in this review: does

auditing add value? If financial statement users do not value auditing, then questions of audit

quality, which is the focus of most archival auditing research, become irrelevant. The second part

of this section discusses research on the factors that drive clients to demand audit quality, where

we view the demand for audit quality as a function of the client’s incentives to demand audit

quality, as well as their competency in meeting this demand.

3.1 The demand for auditing – does auditing add value?

The value of auditing arises from its ability to assure that the financial statements faithfully

reflect the client’s underlying economics. These assurances reduce information risk, which

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ultimately improves resource allocation efficiency, including contracting efficiency. While

auditing is mandated for public clients, an interesting question is whether auditing adds value in

the absence of regulation. Empirically documenting the value of auditing, thus, is an arduous

task. We divide the research on the value of auditing into two groups. The first contrasts the

value of audited versus unaudited financial information. The second investigates the value of the

information communicated by auditors, which includes their opinions on the financial statements

and internal controls, and the information provided by auditor changes disclosed in 8-Ks.

3.1.1 Evidence from audited versus unaudited financial information

The most direct evidence on whether auditing has value comes from comparing the value of

audited versus unaudited financial reports. A major challenge in this research, however, is that

unaudited publicly available financial information is rare. As a result, this research tends to

examine unique settings where the financial reports of privately-held firms are publicly

available, often outside of the US. This literature finds that voluntary audits reduce the cost of

debt, improve credit ratings, and have signaling value that is lost when auditing is mandatory;

and that voluntary quarterly reviews reduce the number of audit adjustments.44 However, the

choice to stay private is endogenous. This research is also restricted to using the cost of debt to

capture the value of auditing, because data on the cost of equity is unavailable for private

companies.

A small subset of this literature also finds that mandatory audits of management forecasts

increase their accuracy, mandated 10-Q reviews improve ERCs, mandated public school audits

improve resource allocation efficiency, and that mandated public housing authority audits reduce

44 Blackwell, Noland, and Winters (1998), Kim, Simunic, Stein, and Yi (2011), Minnis (2011), Lennox and Pitman (2011), Ettredge, Simon, Smith, and Stone (2000).

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overstatements.45 Thus, they consistently find that auditing adds value. However, the number of

studies is relatively small, and the settings usually lack generalizability. In addition, the

regulation that mandates these audits and reviews is endogenous.

3.1.2 Evidence from auditor communication

3.1.2.1 Evidence from going-concern audit opinions

The audit opinion is a direct communication from the auditor to financial statement users,

and thus presents a natural setting for testing whether auditing adds value. GC opinions are the

only modified audit opinions accepted in public company filings with the SEC.46 Thus, research

investigating the value of audit opinions in the US examines GC opinions. GCs communicate the

auditor’s “substantial doubt about the entity's ability to continue as a going concern for a

reasonable period of time, not to exceed one year beyond the date of the financial statements

being audited” (SAS 59, currently AU 341).47

Auditing standards do not define when companies cease to be going concerns, this commonly

occurs when companies enter bankruptcy. Thus, a large body of research explores whether GCs

are useful in predicting bankruptcy. This literature is primarily motivated by regulators’ concerns

that clients often fail shortly after receiving a clean opinion, suggesting that auditors do not

provide adequate “early warning” of impending financial failure (e.g., U.S. House of

Representatives 1985; 1990). These concerns are based on the suspicion that auditors succumb to

management pressure to issue overly optimistic opinions. Consistent with these concerns, the

literature finds that auditors routinely make Type II errors (i.e., issuance of a clean opinion in the

45 McConomy (1998), Clarkson (2000), Manry, Tiras, and Wheatley (2003), Saito and Mcintosh (2010), Grein and Tate (2011). 46 As noted previously, GCs are the only modified opinions accepted in public company filings with the SEC. DeFond and Lennox (2011) find that 17% of SEC registrants report GC opinions. 47 The FASB’s proposed standard on Going Concerns (FASB, 2008) defines the time horizon as “at least, but not limited to, twelve months from the end of the reporting period.”

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year prior to bankruptcy) about fifty-percent of the time (Hopwood, McKeown, and Mutchler,

1989; Raghunandan and Rama, 1995).

Another concern is that auditors respond to this litigation risk by being too quick to issue GC

opinions. Consistent with this concern, the literature also finds that auditors make Type I errors

(i.e., issuance of a GC opinion in the absence of bankruptcy within the subsequent year) about

90% of the time (Geiger, Raghunandan, and Rama, 2005). Higher Type I errors may reflect

auditors’ perception that litigation risk is more costly than losing a client. However, Type I and

Type II errors can also result from unforeseeable events subsequent to the audit opinion date,

such as a rapid decline (or recovery) in financial health (Blacconiere and DeFond, 1997).

Empirical models that explain GCs find that they communicate auditors’ private information

about the client’s financial health, and consider evidence that is both “contrary” to continuation

as a going concern (such as debt default), as well as evidence that “mitigates” failure (such as

financing sources).48,49

Market reactions to first-time GCs provide direct evidence of whether GCs are valued. While

early studies find mixed evidence, recent studies find that GCs result in a negative market

reaction (which attenuates the market reaction to bankruptcies), reduce ERCs, focus valuation on

the balance-sheet, and increase the likelihood of IPO delisting.50 In addition, auditing standards

that strengthen the auditor’s responsibility for identifying GCs improves their informativeness.51

Evidence that GCs have value is consistent with auditors possessing value relevant private

48 Mutchler (1985), Dopuch, Holthausen, and Leftwich (1986), Menon and Schwartz (1987), Carcello, Hermanson, and Huss (1995), Mutchler, Hopwood, and McKeown (1997). 49 Recent evidence also suggests that management opportunism may impair audit quality, as evidenced by fewer GCs following insider selling (Chen, Martin, and Wang, 2013). 50 Firth (1978), Elliot (1982), Dodd, Dopuch, Holthausen, and Leftwich (1986,1987), Melumad and Ziv (1997), Frost (1997), Menon and Williams (2010), Chen and Church (1996), Chen, Su and Zhao (2000), Ghicas, Papadaki, Siougle, and Sougiannis (2008), Blay, Geiger, and North (2011), Subramanyam and Wild (1996), Willenborg and McKeown (2001).51 Holder-Webb and Wilkins (2000), Carcello, Vanstraelen, and Willenborg (2009), Gassen and Skaife (2009).

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information that is not communicated elsewhere. There is, however, mixed evidence on whether

the market under-reacts to GCs, possibly due to research design differences.52 Overall, while the

exact timing of the reaction may be in dispute, the research strongly suggests that market

participants value the information communicated in GC opinions.53

3.1.2.2 Evidence from internal control opinions

Internal controls over financial reporting are designed to provide “reasonable assurance

about the reliability of a company’s financial reporting and its process for preparing and fairly

presenting financial statements in accordance with GAAP” (PCAOB, 2004). Section 404

requires management to issue a report on the effectiveness of the internal controls, and auditors

to issue a separate report of their independent assessment. If the auditor discovers a “material

weakness” in internal controls (ICMWs), they must issue an adverse opinion.54,55 In this section

we review studies on whether the market reacts to the Section 404 opinion. We defer our review

on the real effects of ICMW disclosures to Section 5.1.2.2, where we discuss SOX’s provisions.

An adverse 404 opinion is potentially informative because ICMWs present “more than a

remote likelihood that a material misstatement of the annual or interim financial statements will

not be prevented or detected” (PCAOB 2004). However, ICMW disclosures do not mean that the

identified weakness resulted in a misstatement. Rather, it means that an internal control

weakness is identified that could have resulted in a misstatement. This provides tension to the

52 Taffler, Lu, and Kausar (2004), Kauser, Taffler, and Tan (2009), Ogneva, Subramanyam, and Raghunandan (2007). 53 For a review of the GC literature, see Carson, Fargher, Geiger, Lennox, Raghunandan, and Willekens (2013). 54 Auditors also must identify “significant deficiencies,” which are less severe than “material weaknesses” and do not result in an adverse opinion. Significant deficiencies are privately communicated to the audit committee and do not appear in the audit opinion. 55 For brevity, we combine the terms Internal Control Deficiencies (ICDs), disclosed under SOX Section 302, and Internal Control Material Weaknesses (ICMWs), disclosed under Section 404, and refer to both simply as ICMWs. While this distinction is important in testing the difference between managers’ voluntary and mandated reporting, both reveal internal control problems that are the focus of our summary.

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studies that investigate the effects of ICMWs. While sparse, the evidence suggests that the

market does not react to Section 404 ICMW opinions. While ICMW 404 opinions increase the

cost of debt, the evidence is mixed on whether they increase the cost of equity.56 Overall, the

small number of studies that examine investor perceptions of ICMW 404 opinions makes it

difficult to draw definitive conclusions.

Prior to phasing in Section 404, Section 302 required an unaudited attestation by

management on the effectiveness of internal controls over financial reporting. Section 303

became effective in 2002, and required audited attestation for Accelerated Filers in 2004. In

2010, as a result of the Dodd Frank Act, the SEC announced that non-Accelerated filers are not

required to include audited attestation under Section 404 but still must provide management’s

attestation. In contrast to Section 404, there is consistent evidence that the market reacts

negatively to unaudited Section 302 disclosures.57

3.1.2.3 Evidence from auditor changes

The market reacts negatively to auditor resignations, consistent with resignations

communicating information about high litigation risk. By comparison, the reaction to auditor

dismissals depends on the reason, with a negative reaction to dismissals with auditor-client

disagreements, problems with internal controls, or dismissals without auditor comment letters;

and a positive reaction to service or fee related dismissals. There is also evidence that ERCs

decline after disagreement or fee-related auditor changes, but increase following service-related

changes; and that CEO and CFO turnover increase following auditor resignations.58 Overall,

56 Beneish, Billings, and Hodder (2008), Dhaliwal, Hogan, Trezevant, and Wilkins (2011), Kim, Song, and Zhang (2011), Ogneva and Subramanyam (2007), Ashbaugh-Skaife, Collins, Kinney, and LaFond (2009). 57 Beneish, Billings, and Hodder (2008), Hammersley, Myers and Shakespeare (2008), Kinney and Shepardson (2011), Hermanson and Ye (2009), Munsif, Raghunandan, and Rama (2013), Bedard and Graham (2011). 58 For overall reaction, see Krishnan and Krishnan (1997), Bockus and Gigler (1998), Shu (2000), Wells and Loudder (1997), DeFond, Ettredge, and Smith (1997), Griffin and Lont (2010). For positive or negative reaction, see

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these studies are consistent with auditor changes conveying useful information to audit market

participants about financial reporting quality and management integrity.

3.1.3 Critique and future research on the value of auditing

This literature provides compelling evidence that market participants value auditing, with

several limitations. One is generalizability. For example, studies that compare audited with

unaudited information are based primarily on voluntary audits by private firms, which are likely

to face different agency costs. Studies on auditor changes and GCs examine relatively infrequent

events, and GCs are limited to distressed firms and capture a relatively narrow aspect of auditing.

While the negative market reaction to GCs and their ability to predict bankruptcy suggest that

they provide new information, this evidence is also consistent with a “self-fulfilling prophecy”,

because GCs can cause bankruptcy by triggering covenant violations and increasing financing

cost.59

Going forward, newly proposed auditing standards by the PCAOB may open up a fruitful

new avenue to study the value of auditing. These standards require broadening the scope of the

auditor’s report to include discussion of “critical audit matters” (PCAOB, 2013). “Critical audit

matters” are defined as issues that involved the most difficult, subjective or complex auditor

judgments, posed the most difficulty to the auditor in obtaining sufficient evidence, or posed the

most difficulty to the auditor in forming the opinion. In addition, the auditor must report

information about their independence, tenure with the client, and the auditor’s responsibilities for

other information filed with the SEC that contains audited financials. This new report will be a

Smith and Nichols (1982), Whisenant, Sankaraguruswamy, and Raghunandan (2003b), Krishnan (2002),Sankaraguruswamy and Whisenant (2004). For ERCs and turnover, see Hackenbrack and Hogan (2002), Menon and Williams (2008). 59 Louwers, Messina, and Richard (1999), Chen, He, Ma, and Stice (2012), Hansen and Watts (1997).

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dramatic departure from the terse boilerplate language that characterizes the current auditor’s

report.

In addition, the scope and complexity of the business environment and economic

transactions has greatly increased in recent years, increasing the demand for information. As a

result, assurance services beyond the traditional financial statement audits are growing rapidly.

Over 50% of the Fortune 500 voluntarily issue audited “sustainability” reports that address

environmental concerns, and all of the Big N auditors provide sustainability auditing services.60

This trend coincides with recent SEC requirements that require registrants to consider the effects

of climate change in their financial reports (SEC, 2010).61 This expansion in the scope of

corporate reporting suggests that auditing may have value beyond just the traditional financial

statements. However, this also raises many questions, such as whether the new assurance

services really add value, what audit quality means in a non-accounting setting, and whether

expertise at financial statement assurance translates to non-accounting settings.

3.2 What drives client demand for audit quality?

We view the demand for audit quality as a function of the client’s incentives to demand

audit quality, and their competency in meeting this demand. Thus, we separately discuss studies

that address client incentives and those that address client competencies. Theory suggests that

client demand for audit quality arises from the incentives to reduce agency costs faced by the

firm (Jensen and Meckling, 1976). In addition, regulation places a floor on the demand for audit

quality among public companies, and regulatory intervention can change both client incentives to

demand high audit quality and their competencies for achieving this demand. We note, however, 60 O’Dwyer (2011), Power (1997, 2003), Simnett, Vanstraelen, and Chua (2011), Moser and Martin (2012), Dhaliwal, Radakrishnan, Tsang, and Yang (2012). 61 Similarly, the FTC recently required Google and Facebook to have “privacy audits,” and dozens of technology companies, including Twitter, to have “security audits.” These audits are essentially a form of e-commerce assurance (Jamal, Maier, and Sunder, 2003; Gendron and Barrett, 2004).

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that client incentives are not independent of client competencies. In particular, greater incentives

to demand high audit quality also provide greater incentives for clients to develop competencies

to fulfill their demand.

3.2.1 Client incentives to demand high audit quality

Moral hazard problems arise from the information asymmetry between managers and

outside stakeholders, most notably shareholders and creditors. This in turn provides managers

with incentives to issue financial statements that allow stakeholders to monitor their actions

(Jensen and Meckling, 1976; Watts, 1977; Watts and Zimmerman, 1983). Costly verifiability of

the financials in turn gives rise to management’s demand for independent third party assurance

that the financial statements are fairly presented. Higher agency conflicts increase the demand

for greater third party assurance, and hence higher audit quality. Since agency conflicts are the

primary source of the client’s incentives to demand high audit quality, it is natural to examine the

link between audit quality and agency conflicts.62

Major research design challenges in this literature include identifying settings in which

there is variation in agency costs, and developing valid agency cost proxies. Research addresses

these challenges in several ways. Some studies directly measure agency costs using managerial

ownership or leverage. Some studies exploit unique international settings that provide

advantages such as data availability for private companies, a wide variation in management and

foreign ownership, and natural experiments such as “privatization,” which shifts ownership from

the state to private citizens. Other studies examine auditor change settings in the US, in which

companies switch between Big N and non-Big N auditors, or Andersen’s clients are forced to

choose a new auditor.

62 While the literature focuses on agency cost explanations, Francis, Khurana, Martin, and Pereira (2011) show that private firms in countries with weak institutions demand higher audit quality to enhance investor protection.

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Most studies in this literature capture the demand for high audit quality by the client’s

choice of auditor characteristics, such as Big N or industry specialization. Although the evidence

is relatively limited, most of the research in this area finds support for the hypothesis that agency

costs explain the choice of audit quality. Specifically, higher audit quality is demanded by U.S.

firms that experience increases in leverage and decreases in managerial ownership, ex-Andersen

clients with high leverage and low managerial ownership, UK firms with low executive

shareholdings and high debt ratios, UK unlisted firms with either low or high managerial

ownership, Chinese non-State-Owned-Enterprises, Canadian companies with large differences

between cash flow rights and control rights, French companies with less family control and more

diversified ownership, and international firms that undergo shifts from state to private ownership.

While most studies support the link between agency costs and audit quality, not all do. In

particular, ex-Andersen clients with high leverage and low managerial ownership were no more

likely to switch to a Big N successor auditor than other ex-Andersen clients.63

Several studies also explore factors that may exacerbate the agency problem. Intuitively,

riskier and more complex firms face larger agency problems and hence are likely to demand

higher audit quality. This intuition is consistent with a small number of studies that identify a

variety of inherent risk factors that influence the demand for audit quality. These studies find that

firms with riskier IPOs and larger total accruals demand Big N auditors, and that firms with high

R&D intensity and more investment opportunities demand specialist auditors.64 We also note

that because these factors increase client complexity, the demand for Big N and specialist

63 For support, see Francis and Wilson (1988); DeFond (1992), Blouin, Grein, and Rountree (2007), Firth (1997), Lennox (2005b), Wang, Wong, and Xia (2008), Khalil, Magnan, and Cohen (2008), Francis, Richard, and Vanstraelen (2009), Guedhami, Pittman, and Saffar (2009). For no support, see Barton (2005). 64 Copley and Douthett (2002), Francis, Maydew and Sparks (1999), Godfrey (2005), Cahan, Godfrey, Hamilton, and Jeter (2008).

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auditors in these settings may not be due to the auditors’ incentives, but instead due to their

competency in auditing complex accounting issues.

3.2.2 Client competencies to fulfill their audit quality demands

We define client competencies as the clients’ abilities to meet their incentive driven

demand for audit quality. These abilities consist of mechanisms that facilitate meeting their

demand for audit quality, and are typically integral parts of the corporate governance system.

Thus, one line of the literature on client competencies studies the effects of corporate governance

strength on the demand for audit quality. These studies find consistent evidence that strong

corporate governance is associated with the choice of audit inputs that are associated with higher

audit quality, where strong governance is captured primarily by board characteristics. For

example, firms with stronger governance are more likely to appoint industry specialist auditors,

switch to Big N auditors, choose more independent audit committees, and pay higher fees.65

Another line of research on client competencies studies the specific governance

mechanisms that help clients achieve their desired level of audit quality: audit committee

characteristics, internal control reporting, and the internal audit function. The audit committee

studies generally find that independent audit committees and audit committees with financial

experts demand higher audit quality, and studies on internal control reporting generally find that

material internal control weaknesses are associated with poor accounting quality. However,

because most of the research on audit committee characteristics and internal control reporting is

triggered by SOX, we defer our detailed discussion of these studies to Section 5.1. In this section

we limit our discussion to the effects of the internal audit function on satisfying the client’s

demand for high audit quality.

65 Beasley and Petroni (2001), Cassell, Giroux, Myers, and Omer (2012), Beasley and Salterio (2001), Klein (2002b), Engel, Hayes, and Wang (2010).

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The internal audit function (IAF) was first established at the beginning of the 20th century

and has evolved from being the “eyes and ears” of management to the “audit of management”

(Bailey, Gramling, and Ramamoorti, 2012). While IAF has broad responsibilities that include

operational functions, their primary focus is on the reliability of financial reporting and internal

controls. IAFs are often under the direct oversight of the audit committee and as such play a

potentially critical role in achieving the client’s desired level of audit quality. Gramling, Maletta,

Schneider, and Church (2004) note that while SOX does not specifically address the IAF, the

expanded internal control responsibilities of the audit committee, external auditors, and

management, suggest an increasing role for IAF. In addition, Auditing Standard No. 5 (AS5)

specifically permits external auditors to directly rely on the work of IAFs, and a recent

practitioner study finds that clients are expanding the corporate governance role of IAF, and that

external auditors are placing greater reliance on the IAF (Protiviti, 2013).

Outside of experimental studies, the research on IAF is limited, falling into two groups.66

One group examines the link between IAF and financial reporting quality, and finds that a

stronger IAF is associated with fewer material weaknesses under SOX 404, and less earnings

management. The other group examines the link to external audit efficiency, and finds that a

stronger IAF is associated with lower fees and shorter audit lags, consistent with the IAF

improving external audit efficiency.67

In addition, IAF also has implications for the supply of audit quality. As with external audit

quality, internal audit quality is also likely to be a function of independence and competency,

although, internal auditors are inherently less independent than external auditors. Consistent with

66 In contrast to the archival studies, there is a large body of experimental work on the IAF. See Bame-Aldred, Brandon, Messier Jr., Rittenberg, and Stefaniak, (2013) for a review of that literature. 67 For reporting quality, see Lin, Pizzini, Vagus, and Bardhan (2011), Prawitt, Smith, and Wood (2009). For efficiency, see Felix, Gramling, and Maletta (2001), Abbott, Parker, and Peters (2012).

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independence being an important factor affecting internal audit quality, external auditors charge

higher fees to clients who use IAF as a training ground for future executives (Messier, Reynolds,

Simon, and Wood, 2011). The notion is that external auditors perceive such IAF personnel to be

less objective, but not less competent, than IAF personnel who are not being trained as future

executives. In addition, Desai, Roberts, and Srivastava (2009) model the extent of external audit

work to be carried out by the internal auditor as a function of the strength of the IAF function.

3.2.3 Critique and future research on the demand for audit quality

In spite of considerable research design challenges, the literature generally concludes that

agency cost incentives increase the demand for audit quality, and that client competencies, such

as audit committee characteristics, improves audit quality. However, the evidence on agency

costs incentives for US companies is limited, and the studies on client competencies arising from

strong IAF are in their infancy. An inherent limitation of the agency cost literature is that it

necessarily relies on input measures of audit quality, such as Big N, specialization, and fees.

Input measures are appropriate in this literature because the tests are designed to capture the

client’s choice of audit quality, which is restricted to observable inputs. While unavoidable, this

reliance on input measures precludes the ability to compare their results to output measures with

complementary strengths and weaknesses. In addition, discrete input measures such as Big N are

unable to capture subtle differences in the demand for audit quality.

Another limitation inherent to this literature is endogeneity. While this applies to much of

the archival auditing literature, endogeneity is particularly acute in the demand literature,

because both the audit quality and agency cost proxies are choice variables. Consequently, most

papers in this area acknowledge endogeneity and take steps to address it. The most common

approach is to use two-stage least squares regressions, although a major challenge is identifying

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exogenous instruments (e.g., Guedhami, Pittman, and Saffar, 2009). Another approach is to use

difference in differences designs in auditor switch settings, although it limits generalizability to

firms that switch auditors (e.g., Wang, Wong, and Xia, 2008).

Going forward, a variety of evolving developments call for a deeper understanding of the

factors that drive the demand for auditing and audit quality. One development is that SOX

attempts to increase client demand for audit quality by, for example, beefing up internal controls

and strengthening audit committees. This raises awareness of the role client demand factors

potentially play in shaping audit quality. One path to better understand client demand factors is

to expand the scope of the agency cost factors examined. In particular, research primarily

examines agency cost proxies such as leverage and management ownership, which capture the

conflicting preferences of managers and stakeholders. This ignores another critical input to the

agency cost problem, the information asymmetry between these stakeholders.

Another path for better understanding the factors that drive client demand for audit quality

is further research on client competencies related to IAF. Examining IAF is potentially fruitful

because it potentially has a large effect on financial reporting quality. While there is limited

evidence that IAF improves financial reporting quality, it is unclear whether this is because IAF

improves internal controls, or because it facilitates the external audit. In addition, a unique

feature of IAF is that some clients perform this function in house and others outsource it, often to

a public accounting firm. This naturally raises the question of whether outsourcing provides

higher internal audit quality than in-house IAF. This comparison reflects the classic tradeoff

between independence and competency, where in-house IAF possesses more firm-specific

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knowledge but is less independent than outsourced IAF. Finally, there are also no generally

agreed upon proxies for the quality of the IAF.68

4. What drives auditor supply of audit quality?

In this section we review and critique the research that investigates the factors that drive

auditors to supply audit quality. The supply of audit quality is a function of both the auditor’s

incentives for independence and their competency (Watts and Zimmerman, 1987). Auditor

independence arises from market-based incentives that include reputation and litigation concerns

(Dye, 1993), and auditor competency refers to the auditor’s ability to deliver high audit quality,

as reflected in factors such as inputs to the audit process, and expertise. In addition, in the case of

public companies, regulation essentially sets a minimum floor on the supply of audit quality for

public companies. Further, regulatory intervention can change auditors’ incentives to supply high

audit quality and their competencies for delivering this supply. For example, banning NAS

intends to improve independence, and CPA licensure intends to improve competency.

The literature primarily focuses on the auditors’ incentives for independence, particularly

those arising from litigation risk. Thus, we first discuss studies that directly examine the effects

of litigation and reputation risk on audit quality. We then discuss a large subset of the literature

that indirectly captures auditor incentives using auditor characteristics such as Big N

membership. Finally, we discuss the limited but growing literature on auditor competency, as

captured by auditor industry specialization, office size, and features of the audit process. We

defer our discussion of the literature on regulatory intervention to Section 5, which separately

examines the effects of non-market-based incentives on audit quality.

68 The literature has considered input measures such as internal audit hours, influence by the audit committee vs. management, and output measures such as third-party ratings on best practices.

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4.1 Auditor incentives to supply high audit quality

“Engagement risk” is used in the professional literature to describe the auditor’s exposure

to “loss or injury from litigation, adverse publicity, or other events arising in connection with the

audited financial statements” (SAS 106). Engagement risk arises from three sources: litigation

risk, reputation risk, and regulation risk (Knechel, Salterio, and Ballou, 2007). Litigation risk

exposes auditors to financial penalties, while reputation risk impairs the ability to attract and

retain clients.69 Regulation risk is the threat of regulatory intervention, which subjects auditors to

sanctions that include fines and criminal penalties. These risks, however, are not independent.

For example, litigation and regulatory sanctions are likely to damage the auditor’s reputation.

4.1.1 Reputation risk

We observe that reputation risk differs in two ways from litigation risk. One is that

reputation costs impair an asset, reputational capital, while litigation costs create a liability.

Thus, reputation has an upside in the sense that auditors can build reputation, whereas litigation

risk has only a downside. Another difference is that unlike reputation risk, litigation risk is

subject to direct intervention from changes in the legal environment, such as the shift in legal

regime that resulted from the Private Securities Litigation Reform Act (PSLRA).

While it is intuitive that reputation risk provides an incentive for high quality audits, direct

evidence that reputation incentives affect audit quality is rare. Several studies look for

reputational effects by testing whether the Enron failure imposes costs on other Andersen clients.

While several studies find a negative market reaction for Andersen clients following Enron,

particularly for large NAS purchasers, there is also evidence that the negative reaction is

69 Litigation risk can be further refined as originating from “client business risk” (the auditor’s risk of association with risky clients) or “auditor business risk” (the auditor’s risk of being sued even if they comply with auditing standards). For expediency, we refer to the more general term “litigation risk” in most of our discussion.

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confounded by oil price changes.70 Another alternative explanation is that the market expected

the litigation damages imposed by the Enron failure to exhaust Andersen’s ability to “insure”

their remaining clients.

To avoid litigation as a confounding explanation, two studies examine extreme audit

failures in low litigation jurisdictions outside the US. Following a major audit failure in

Germany, a KPMG affiliate lost clients, and its clients experienced share price declines (Weber,

Willenborg, and Zhang, 2008). Similarly, following a major audit failure in Japan, a PwC

affiliate lost clients (Skinner and Srinivasan, 2012). These studies provide evidence that auditor

reputation provides incentives for high quality auditing independently of litigation risk.

In summary, the evidence is consistent with reputation risk providing an incentive for

auditors to deliver high quality audits. However, the US evidence is limited and much of the

evidence is inextricably confounded by high litigation risk. While foreign settings provide

stronger evidence, it is difficult to generalize their results to the US. Moreover, these studies, in

both US and foreign settings, rely on rare cases of extreme reputation loss. As such, while they

are informative about whether damaged reputation is associated with perceived lower audit

quality, they are silent about whether improved reputation motivates auditors to provide higher

quality. Thus, primarily due to the difficulty in ruling out the confounding effects of litigation, it

is unsettled whether reputation concerns play an important role in motivating auditors to provide

high quality audits in the US.

4.1.2 Litigation risk

Litigation damage claims against auditors can be large enough to threaten the viability of

even the largest audit firm, and thus are expected to have significant incentive effects. As a

70 Chaney and Philipich (2002), Cahan, Emanuel, and Sun (2009), Krishnamurthy, Zhou, and Zhou (2006), Nelson, Price, and Rountree (2008).

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result, we expect auditors to engage in strategies that counter litigation threats. The literature

investigates the following strategies: (1) reduce risk by increasing audit quality through

additional effort (e.g., Simunic, 1980); (2) bear risk by charging a risk premium (e.g., Bell,

Doogar, and Solomon, 2008); (3) avoid risk through client retention and acceptance (e.g.,

Johnstone and Bedard, 2004); and/or (4) attenuate risk through lobbying for reduced legal

liability (Geiger and Raghunandan, 2001). Thus, we organize our discussion around these

strategies. We combine the first two categories, which both involve fees. This divides the

literature into three broad groups: the effects of litigation on (1) audit effort and fees, (2) client

acceptance and retention decisions, and (3) lobby activities. While our review focuses on the

archival literature, a large proportion of the auditor litigation research over the past fifteen years

is theoretical. Because this literature is prevalent, and because theory ideally informs empirical

research, we discuss the relevant theoretical literature in the Appendix.

4.1.2.1 Reducing litigation risk through increased effort and/or fees

Fee studies

Auditors can reduce the risk of material misstatement by increasing effort, which increases

audit quality and audit fees.71 Alternatively, auditors can pass this risk on to the client by

charging a fee premium. Strategies that include higher fees, however, require the client’s

willingness to pay those fees. In addition, effort can never completely eliminate litigation risk,

because auditors can be sued even when they fully comply with auditing standards (SAS 47,

footnote 1).72 This suggests that even when auditors reduce risk through additional effort they

may still charge a premium to manage the “residual” risk. Taken together, this predicts that

71 Morgan and Stocken (1998), however, theorize that audit fees do not completely reflect litigation risk. 72 Consistent with this, complaints against Big N auditors are three times the number of audit failures, as measured by AU 561 failure identified in Peer Review reports (Sullivan, 1992).

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higher litigation risk is associated with higher fees, which reflects effort, a risk premium, or both

(Simunic and Stein, 1996).73

Early studies identify several risk factors associated with higher fees, including client

losses, modified opinions, public ownership, and for IPOs, bankruptcy and litigation

disclosures.74 However, the associations in these early studies are often weak and inconsistent,

probably because much of the fee data are obtained from surveys and other proprietary sources.

Recent fee studies identify additional priced risk factors, including several engagement

characteristics. These studies find that auditors price high DAC, lack of conservatism, internal

control deficiencies, high short interest, political connections, high free cash flows, poor credit

ratings, and unethical business practices such as bribery. 75 Studies also compare fees across

countries with different litigation regimes. They find higher fees for clients listed or cross-listed

in high litigation risk countries, and in countries that adopt IFRS, although this may be due to

increased procedures required by IFRS rather than increased risk.76

Most studies, however, do not address whether higher fees are due to increased effort or

risk premia. This distinction is critical because additional effort increases quality, consistent with

Caramanis and Lennox (2008), who find that increased audit hours reduce earnings management.

In contrast, risk premia simply shift the expected litigation cost to the client. One way to

disentangle effort from risk premia is to examine actual audit hours, which capture effort, and

73 Interestingly, Behn et al. (1999) show that client satisfaction is positively associated with audit fees. 74 Simunic (1980), Simon and Francis (1988), Francis and Simon (1987), Palmrose (1986), Beatty (1993). See Simunic and Stein (1996) for a review of the early literature that links fees to litigation risk. 75 Abbott, Parker, and Peters (2006); Gul, Chen, and Tsui (2003), DeFond, Lim, and Zang (2012), Hogan and Wilkins (2008), Cassell, Drake, and Rasmussen (2011), Gul (2006), Gul and Tsui (1998), Gul and Goodwin (2010), Lyon and Maher (2005). 76 Seetharaman, Gul, and Lynn (2002), Choi, Kim, Liu, and Simunic (2008 & 2009), Magnan (2008), Kim, Liu, and Zheng (2012), DeGeorge, Ferguson, and Spear (2013).

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billing rates, which reflect (at least in part) the risk premia.77 While several studies find that risk-

related fees reflect additional audit effort, others find they reflect both effort and risk premia,

particular in the early years of an engagement, perhaps due to the increased risk of audit failure.78

A series of studies draw unique insights from examining fees and restatements. An early

study finds that restatements are associated with higher fees (Kinney, Palmrose, and Scholz,

2004), perhaps because restatement firms are also riskier. After controlling for the higher risk,

later research finds that restatements are actually less likely for clients with higher fees

(Blankley, Hurt, and MacGregor 2012; Lobo and Zhao, 2013). This suggests that fees capture

effort, consistent with higher fees being associated with a reduced likelihood of waived material

misstatements (Keune and Johnston (2012). However, this literature does not inform the question

of whether fees also reflect litigation risk premia.

Non-fee studies

Non-fee studies are few in number. One subset examines shifts in litigation risk and finds

that lower litigation risk reduces audit quality. Specifically, passage of the PSLRA reduces audit

quality in the US, shifting from unlimited to limited auditor liability reduces audit quality in

China (but not in the UK), and post-IPO clients demand lower audit quality than high risk pre-

IPO clients. Another subset examines the effects of misstatement risk, as reflected in accruals.

These studies find mixed evidence on whether higher accruals or DAC affect GCs, and if so

whether it is due to litigation risk or poor financial health. 79 Recently, however, Kaplan and

77 Audit effort can also be inferred from audit reporting lags (Knechel and Payne, 2001). 78 For the relation between fees and risk premia, see Simunic and Stein (1996), Bell, Landsman, and Shackelford (2001), Schelleman and Knechel (2010), Johnstone and Bedard (2003), Bell, Doogar, and Solomon (2008). For increased risk of audit failure in early years, see Erickson, Mayhew, and Felix (2000), Myers, Myers, and Omer (2003). 79 For shifts in litigation risk, see Geiger and Raghunandan (2001), Lee and Mande (2003), Firth, Mo, and Wong (2012), Lennox and Li (2012), Venkataraman, Weber, and Willenborg (2008). For misstatement risk, see Krishnan (1999), Bradshaw, Richardson, and Sloan (2001), Bartov, Gul, and Tsui (2001), Butler, Leone, and Willenborg

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Williams (2013) use a simultaneous equations model and find that auditors issue more GCs to

high litigation risk clients, are sued less after issuing GCs, and suffer smaller financial losses

from being sued. In addition, auditors constrain DAC for inherently risky clients (Cahan and

Zhang, 2006).

4.1.2.2 Avoiding litigation risk through client acceptance and retention decisions

If additional effort and/or increased fees are insufficient to reduce risk to a tolerable level,

auditors can avoid risk by dropping risky clients.80 It is unclear, however, whether high quality

auditors prefer less risky clients. On one hand, “deep pockets” and higher reputation give high

quality auditors incentives to avoid risky clients. On the other hand, their high quality allows

them greater capability to mitigate client risk. Consistent with theory, however, and using data

from a variety of sources, this research finds consistent evidence that auditors are more likely to

resign from, and less likely to accept, riskier clients.81

4.1.2.3 Attenuating litigation risk through lobbying activities

While less researched, auditors may also attenuate litigation risk by lobbying. A large

lobbying effort by US auditors resulted in passage of the PSLRA in 1995, which reduced auditor

liability. This is prima face evidence that auditors lobby for litigation relief. Consistent with

PSLRA reducing litigation risk, after its passage, auditors issue fewer GC opinions (Geiger and

Raghunandan, 2001), and Big N clients report higher DAC (Lee and Mande, 2003). These

findings are consistent with auditors benefiting from litigation relief.

4.1.2.4 Determinants of auditor litigation risk

While most research studies the effects of litigation risk on audit quality, some identifies (2004). 80 Client acceptance rates may also be a U-shaped function of the strictness of the legal regime, with lower rates in moderate liability regimes, than in strong or weak regimes (Laux and Newman, 2010). 81 Bockus and Gigler (1998), Krishnan and Krishnan (1997), Shu (2000), Raghunandan and Rama (1999), Johnstone and Bedard (2003), Choi et al. (2004), Johnstone and Bedard (2004), Hackenbrack and Hogan (2005).

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determinants of litigation risk. One set of determinants is auditor characteristics. These studies

find that litigation risk is higher for auditors who are larger, have shorter tenure, share profits

nationally (as opposed to locally), but not higher for industry specialists. Another set of

determinants is client characteristics. These studies find that litigation risk is higher for clients

that are larger, financially distressed, less conservative, and with higher growth, higher return

volatility, riskier accounts, GCs, income-increasing accruals, fictitious transactions. A third set of

determinants is engagement characteristics, including understanding client business risk,

working paper review procedures, and sampling size choices. 82 Shu (2000) introduces a

composite metric, which has been widely adopted as a measure of firm litigation risk. We note,

however, that these models have developed in a relatively piece-meal fashion and are relatively

descriptive in nature.

4.1.3 Auditor incentives captured by auditor size

For over three decades, a large body of research has focused on whether large auditors

provide relatively higher audit quality, where large auditors are typically captured by Big N

membership. This literature asks whether there is cross-sectional variation in audit quality,

referred to as “audit quality differentiation.” Big N auditors are posited to provide higher audit

quality because they are expected to be more independent. This is because their larger client base

subjects them to greater reputation risk and less pressure to succumb to an individual client, and

because their “deep pockets” subject them to higher litigation risk. Because this literature

generally theorizes that Big N auditors provide higher audit quality from stronger incentives,

these studies are joint tests of (1) whether Big N captures stronger incentives, and (2) whether 82 For auditor characteristics, see Casterella et al. (2010), (Stice, 1991), Casterella et al. (2010), (Hay et al., 2007). For client characteristics, see Stice (1991), Carcello and Palmrose (1994), Lys and Watts (1994), Shu (2000), Bonner, Palmrose, and Young (1998), Heninger (2001), DeFond, Lim and Zang (2013). For engagement characteristics, see Erickson, Mayhew, and Felix (2000), Gibbins and Trotman (2002), and Elder and Allen (2003), Yim (2009).

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stronger incentives are associated with higher audit quality. Big N auditors, however, also have

higher competency in providing audit quality.

We first examine studies that support the notion that Big N auditors provide higher audit

quality, which constitutes the majority of this literature. We group these studies based on the

nature of the audit quality proxies they employ. We then discuss the evidence from a few studies

that challenge this research. Finally, we critique this literature.

4.1.3.1 Evidence that size is associated with audit quality differentiation

Evidence from material misstatements

Big N auditors are less likely than non-Big N auditors to trigger litigations and AAERs.83

Importantly, the association with AAERs is also found shortly prior to 2002, a time during which

the Big N auditors were severely criticized for providing low quality audits. Several studies that

model restatements include a Big N control variable and find only weak evidence that Big N

auditors are associated with fewer restatements, except among the largest quartile of auditor

offices.84

Evidence from auditor communication

Using Chinese data, Chan and Wu (2011) find that audit firm mergers increase audit

quality as measured by Modified Audit Opinions (the counterpart of GCs in China). This

supports the notion that larger auditors provide higher audit quality due to the increased

incentives provided by larger quasi-rents. We observe, however, that such mergers are also likely

to increase the competency of merged audit firm to provide higher audit quality, making it

difficult to disentangle the incentive effects from the competency effects.

83 Palmrose (1988), Farber (2005), Lennox and Pittman (2010b). 84 DeFond and Jiambalvo (1991), Archambeault, Dezoort and Hermanson (2008), DeFond, Lim, and Zang (2012), Francis, Michas and Yu (2013).

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Evidence from financial reporting quality

This research finds that compared to non-Big N auditors, Big N auditors are associated

with smaller DAC, even after controlling for management’s simultaneous choice of both accruals

and auditor type.85 Further, this association is relatively stronger in China during periods in

which managers have strong incentives to manage earnings, and in countries with strong investor

protection rights.86 However, Zang (2012) finds that while Big N auditors constrain accrual-

based earnings management, they do not constrain earnings management from real activities.

In addition to constraining accruals management, research also finds that Big N auditors

are associated with a variety of other measures that suggest improved reporting quality. For

example, clients of Big N auditors have a stronger association between DAC and future

profitability, greater accounting conservatism in strong enforcement countries, faster 8-K filings,

more frequent, timely, and informative management forecasts, smaller absolute management

earnings forecast errors among Canadian IPOs, higher financial reporting comparability, and

more timely disclosure of auditor changes.87

Evidence from perceptions of audit quality

Since Big N auditors are associated with improved financial reporting quality, a natural

extension is to examine whether the market perceives Big N audited financial information to be

more valuable. Early research finds that ERCs are larger for Big N auditors compared to non-Big

N auditors (Teoh and Wong, 1993). Notably, this finding is robust to a matched pairs design and

in settings where clients switched between Big N and non-Big N auditors. More recently, this

finding is corroborated by a large number of studies. For example, when compared to non-Big N 85 Becker, DeFond, Jiambalvo, and Subramanyam (1998), Francis, Maydew, and Sparks (1999), Kim, Chung, and Firth (2003). 86 Chen, Chen, Lobo, and Wang (2011), Francis and Wang (2008). 87 Krishnan (2003), Francis and Wang (2008), Schwartz and Soo (1996b), Ball, Jayaraman, Shivakumar (2012), Clarkson (2000), Francis, Pinnuck and Watanabe (2013), Schwartz and Soo (1996a).

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clients, Big N clients tend to have a stronger association between share prices and DACs, higher

analyst forecast accuracy, higher acquisition prices for M&A targets, smaller price discounts

among minority shareholders, lower stock price synchronicity in China, lower cost of equity,

lower cost of debt, higher propensity to raise outside capital in weak legal environments, and a

higher propensity to issue equity over debt.88

A large subset of the market-based studies examines evidence from auditor changes. One

branch of this research examines switches between Big N and non-Big N auditors. If these

switches represent a change in audit quality, market participants will react positively to

unanticipated “upgrades” and negatively to unanticipated “downgrades.” While early studies find

little reaction to auditor changes, studies using more recent data find a negative reaction to

downgrades and a positive reaction to upgrades, which is attenuated shortly after the

implementation of SOX 404 and the PCAOB audit firm inspections.89 This is consistent with the

difference in audit quality between Big N and non-Big N auditors narrowing after SOX, as

suggested by the large exodus of small low quality auditors following the passage of SOX

(DeFond and Lennox, 2011).

Another branch of the auditor change literature examines IPOs, since companies often

change auditors before going public. These studies find that IPOs with Big N auditors exhibit

lower underpricing, even after controlling for self-section bias.90 Willenborg (1999) extends this

literature by examining the pricing of small development stage IPOs, where the risk of failure is

high but the financial information provided is minimal. Consistent with Dye (1993), this paper

88 Krishnan (2003), Behn, Choi, and Kang (2008), DeFranco, Gavious, Jin, and Richardson (2011), Fan and Wong (2005), Gul, Kim, and Qiu (2010), Khurana and Raman (2004), Pittman and Fortin (2004), Mansi, Maxwell, and Miller (2004), Choi and Wong (2007), Chang, Dasgupta, and Hilary (2009). 89 Nichols and Smith (1983), Johnson and Lys (1990), Eichenseher, Haggigi, and Shields (1989), Knechel, Naiker, and Pacheco (2007), Chang, Cheng, and Reichelt (2010). 90 Simunic and Stein (1987), Balvers, McDonald, and Miller (1988), Beatty (1989), Hogan (1997).

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finds evidence that large audit firms play both an insurance role (by providing recourse to

investors) and an information role (by helping assess firm value). A problem with the “insurance

hypothesis,” however, is that even the largest auditing firms do not have the capital to “insure”

large public companies. This is evidenced by the large losses suffered by shareholders following

failures such as Enron and WorldCom. Using KPMG’s tax shelter clients, Brown, Shu, Soo, and

Trompeter (2013) isolate the insurance role of auditing by documenting negative (positive)

market reactions to events that increase the likelihood of criminal charges (impending

settlement). In another extension, Weber and Willenborg (2003) find that GC opinions issued by

Big N auditors to IPO firms are better able to predict future delisting when compared to non-Big

N auditors (after controlling for auditor-client self section bias). However, Leone, Rice, Weber,

and Willenborg (2013) find that Big N audit quality declines for IPOs issued during times of

stock market euphoria.

Evidence from audit fees

While Big N is often used as an input-based measure of audit quality, researchers also

examine its association with another input-based measure – audit fees. Several early studies find

evidence that clients pay a fee premium to Big N auditors, consistent with these auditors

providing higher audit quality.91 This premium can range as high as 50% over the fees paid to

non-Big N auditors and is found across a variety of national jurisdictions, including the US, the

UK, Australia, and Hong Kong.92 Ireland and Lennox (2002) further show that the Big N fee

premium is twice as large once client selection is controlled for. However, while there is clear

evidence of the existence of a fee premium, it is unclear whether the fee premium represents

91 The Big N fee premium also exists for non-profit clients (Krishnan and Schauer, 2000; Vermeer, Raghunandan, and Forgione, 2009). 92 Palmrose, 1986; Simon and Francis (1988), Pong and Whittington (1994), (Francis (1984), Francis and Stokes (1986), Craswell, Francis, and Taylor (1995), DeFond, Francis, and Wong (2000).

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higher audit quality, monopoly pricing, or simply a risk premium. Thus, it is important to look

for further evidence that corroborates the audit quality explanation.

4.1.3.2 Evidence that auditor size is NOT associated with audit quality differentiation

While there is strong evidence that auditor size as captured by Big N membership provides

higher audit quality, there still remains some tension on this issue. Theoretical work suggests that

larger auditors can actually provide lower quality audits (Bar-Yosef and Sarath, 2005; Beyer and

Sridar, 2006), consistent with a handful of empirical studies. For example, Petroni and Beasley

(1996) find no systematic difference in claim loss reserve accuracy or bias between clients of Big

N and non-Big N auditors. However, because claim loss reserves are risky accounts, small

auditors may exert relatively more effort in auditing them. In addition, Chaney, Jeter, and

Shivakumar (2004) find evidence among private firms that Big N fee premia disappear once self-

selection is controlled, although Lennox, Francis and Wang (2012) find that the premia remain.

More recently, Lawrence, Minutti-Meza, and Zhang (2011) challenges the long series of studies

that find Big N auditors increase financial reporting quality. Using a propensity score matching

technique, they suggest that Big N quality differentiation (as captured by DAC, cost of equity,

and analysts forecast accuracy) is due to differences in client characteristics.93 However, a recent

working paper suggests that the results in Lawrence, Minutti-Meza, and Zhang (2011) are

sensitive to research design choices inherent in propensity score matching (DeFond, Erkens, and

Zhang, 2014).

93 There is also less direct evidence that challenges Big N audit quality. Guedhami and Pittman (2006) find that legal institutions are superior to Big N auditors in reducing poor financial reporting for minority investors. Moreover, Louis (2005) looks at post-acquisition performance and finds that acquirers with non-Big 4 auditors outperform acquirers with Big 4 auditors.

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4.1.3.3 Critique of the auditor size research

The research that examines the link between Big N auditors and audit quality is

exceptionally large and studies a large variety of audit quality proxies. The overwhelming

majority of these studies find strong evidence that Big N auditors are associated with higher

quality auditing as captured by a lower likelihood of fraud, lower DACs, higher fees, increased

ERCs, improved management forecasts, timelier 8-K filings, and a lower cost of debt and equity.

Taken as a whole, these studies provide evidence that triangulates across audit quality proxies

that are complementary on many dimensions. Specifically, the proxies include both direct and

indirect measures, egregiously large misstatements as well as “within-GAAP” manipulations,

actual and perceived quality, and both input and outputs from the audit process. Thus, this

research provides compelling evidence consistent with the notion that Big N auditors deliver

higher quality audits when compared to smaller auditors.

Self-selection is a major challenge currently facing this literature, and a large part of the

archival auditing literature as well. For example, Big N auditors may be associated with smaller

DAC simply because lower DAC reflects lower audit risk, and Big N auditors choose less risky

clients. We emphasize, however, that concerns about Big N membership capturing auditor-client

self-selection are not new to this literature, and the literature has long recognized self-selection

and endogeneity to be inherent research design challenges. For example, the evidence suggests

that Big N auditors select lower risk clients (e.g., Johnstone and Bedard, 2004). Similarly, if

risky clients expect greater scrutiny from Big N auditors, they are likely to select smaller

auditors.

A large number of studies, particularly recent ones, attempt to address self-selection using a

variety of techniques, including Heckman two-stage procedures, two-stage treatment effects

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models, general matching procedures, change analyses, difference-in-difference designs, and

propensity score matching.94 While these techniques may partially attenuate concerns about self-

selection and endogeneity, they can never be completely eliminated outside of a purely

experimental setting (Cochran and Rubin, 1973). Larcker and Rusticus (2010) address the use of

instrumental variables analysis in accounting research, which is also applicable to auditing

research in addressing endogeneity issues in general. Lennox, Francis, and Wang (2012) provide

an excellent discussion on the use of the Heckman procedure to control for selection bias. In

particular, they recommend that researchers be more careful in implementing the first stage

selection models, and be more circumspect in claiming to have “controlled for selection bias”.

Further, DeFond, Erkens, and Zhang (2014) find that Propensity Score Matching is inherently

sensitive to several research design choices, and that it suffers from the “random matching”

problem. They propose a new technique, Coarsened Exact Matching, which does not suffer from

these problems and thus results in higher match quality. We believe that given the obvious

validity threat posed by selection biases, it is important for researchers to address these biases to

the extent possible, and to carefully interpret their findings in light of these threats.95

Another challenge in this literature is identifying what factors drive Big N audit quality.

Specifically, while most of this literature concludes that Big N quality differentiation is driven by

incentives, Big N auditors also have greater competency in providing higher audit quality. Big N

auditors are expected to be more competent for a variety of reasons. For example, Big N auditors

enjoy economies of scale that make it more efficient to monitor audit quality (Watts and

94 See Weber and Willenborg (2003), Kim, Chung, and Firth (2003), Doogar and Easley (1998), Wang, Wong, and Xia, (2008), Blouin, Grein, and Rountree (2007), Armstrong, Jagolinzer, and Larcker (2010), Core (2010), Lawrence, Minutti-Meza, and Zhang (2011), Lennox and Pittman (2010b). 95 Dies and Hill (1998) present a bootstrap method to address the simultaneity of the demand and supply of audit services.

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Zimmerman, 1981).96 In addition, their large size allows them to attract and retain higher quality

audit inputs, particularly with respect to human resources and expertise (Dopuch and Simunic,

1982). While Big N captures both auditor incentives and competencies, most of the literature

does not attempt to disentangle the two. Recently, however, researchers have begun to examine

audit quality variation within Big N auditors, which holds their incentives relatively constant,

thereby teasing out the effects of competency on audit quality. The auditor characteristic that is

examined most extensively in this literature is auditor industry specialization. The research on

auditor industry specialization is discussed in the next section, which surveys the literature on

auditor competencies.

4.2 Auditor competencies to deliver high audit quality

Auditor competency refers to the auditor’s abilities to deliver high audit quality, which

include training, skills, and expertise. We note, however, that auditor competencies are not

independent of their incentives. Greater incentives to supply high audit quality also motivate

auditors to develop competencies that facilitate the delivery of high quality audits. Similarly,

greater competency in delivering high quality audits is expected to increase the auditor’s

reputation capital, thereby providing greater incentives to supply high audit quality. The archival

research on auditor competencies is fairly recent, and thus relatively small compared to the

auditor incentives literature.

4.2.1 Evidence from auditor industry specialization

The industry expertise research extends the auditor size literature by investigating whether

quality differentiation occurs at the intra-audit firm level. Auditors will choose to specialize if

they perceive benefits, such as increased fees or market share from higher quality audits and/or

96 Banker, Chang, and Cunningham (2003) empirically document that the production function of the public accounting industry exhibits significant scale economies during 1995-1999.

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economies of scale. Industry specialists are expected to provide higher audit quality because they

have greater knowledge of industry business and accounting practices than non-specialists

(Dopuch and Simunic, 1982). This suggests that specialists have greater competency in

delivering high quality audits. In addition, industry specialists have higher reputational capital at

stake, providing them with greater incentives to deliver high audit quality. Industry specialization

can arise at different organizational levels for different reasons. Global and national-level

specialization provides greater opportunities for knowledge sharing, while office-level

specialization leverages client-specific knowledge and local business conditions. Partner-level

specialization may capture knowledge that is difficult to transfer and provide stronger individual

incentives.

A challenge in this literature is measuring specialization, which is usually captured as

industry market share, based on sales, size, fees, or number of clients, using a simple proportion

or Herfindahl index. Auditors are specialists if they are industry leaders or audit some arbitrary

percentage of the market, usually 10-30% (Neal and Riley, 2004). Only Big N auditors are

national-level specialists because they dominate most industries. In addition, many studies

control for brand name by restricting their analysis to Big N auditors. Thus, industry

specialization often refers to specialization among Big N auditors.

This literature takes several approaches to test whether industry specialists provide higher

quality audits. One examines audit quality proxies. A large number of studies find that national-

level specialists are associated with high audit quality proxies, including DAC, ERCs, GCs,

benchmark beating, disclosure quality, and analyst forecast accuracy, with relatively limited

evidence that City level specialists provide higher quality.97 Partner-level specialization data is

97 Balsam, Krishnan, and Yang (2003), Reichelt and Wang (2010), Lim and Tan (2008), Payne (2008), Dunn and

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not available in the US, but Taiwan data finds that these specialists reduce restatements (Chin

and Chi, 2009).98 Another approach examines the market reaction to auditor switches and finds a

positive (negative) reaction for switching to a specialist (non-specialist), consistent with the

perception that specialists provide higher quality (Knechel, Naiker, and Pacheco, 2007). Yet

another approach examines fee premia. While early studies find premia only for larger clients,

recent studies conclude that national-level industry leaders earn premia, but only when they are

also city-level industry leaders; global-level industry leaders earn premia irrespective of whether

they are also national-level specialists; and partner-level industry leaders earn premia, but only

when they are also public firm specialists.99 However, a recent study suggests that the quality

these associations are explained by self-selection (Minutti-Meza, 2013). While self-selection is a

legitimate concern, it is premature to draw a definite conclusion on this issue and we call for

future research to further explore the effect of self-selection in the specialization literature.

Digging deeper, the degree of audit market competition impacts the specialization premia.

Numan and Willekens (2012) find that the specialization premia increases with the distance

between the auditor’s market share and the market share of the next closest competitor, and

Mayhew and Wilkins (2003) find similar results in the IPO market. This suggests that fee premia

accrue to auditors with superior bargaining power. Consistently, fee premia decline when clients

have strong bargaining power.100 Moreover, when specialization produces economies of scale,

auditors may instead grant fee discounts (DeFond, Francis, and Wong, 2000).

Mayhew (2004), Behn, Choi, and Kang (2008), Reichelt and Wang (2010). 98 Evidence also suggests that industry specialist auditors attenuate the negative association between short auditor tenure and audit quality (Gul, Fung, and Jaggi, 2009). 99 For early studies, see Palmrose (1986), Pearson and Trompeter (1994), Deis and Giroux (1996), Ettredge and Greenberg (1990), O’Keefe, Simunic, and Stein (1994), Menon and Williams (2001), Craswell, Francis, and Taylor (1995). For more recent studies, see Ferguson, Francis, and Stokes (2003), Francis, Reichelt, and Wang (2005), Basioudis and Francis (2007), Carson (2009), Zerni (2012), Goodwin and Wu (2013). 100 Casterella, Francis, Lewis, and Walker (2004), Huang, Liu, Raghundandan, and Rama (2007), Fung, Gul and

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Less explored is why audit firms choose to specialize. Kwon (1996) finds that as industry

concentration decreases, competitors are more likely to share the same auditor, since proprietary

information concerns decline. In addition, specialization is more likely in homogenous industries

where economies of scale are larger, in industries with a lower incidence of litigation, and when

audit partner specialists receive higher compensation.101 These findings suggest that demand-side

industry forces and litigation risk play a role in the choice to specialize.

In addition to specialization, geographic location also affects audit quality differentiation.

Auditors provide higher audit quality to clients that are geographically closer, consistent with

geographic proximity increasing knowledge of the client and thus improving the auditor’s

competency. In particular, auditors tend to provide higher quality audits to clients that are

geographically closer as evidenced by DAC (Choi, Kim, Qiu, and Zang, 2012), consistent with

the accounting and finance literature on geographic proximity (e.g., Kedia and Rajgopal, 2009).

4.2.2 Evidence from auditor office size

In addition to specialization, researchers also examine whether auditor office characteristics

capture auditor competencies that influence audit quality. Most commonly examined is Big N

office size, as measured by client fees or assets. Large Big N offices are argued to offer higher

quality because of greater in-house expertise. Although limited in number, studies find that large

offices provide higher audit quality, as measured by DAC, GCs, fee premia, and restatements.102

An implication of this literature is that office size, along with industry specialization, also

captures within-audit firm differential audit quality provided by Big N auditors. Francis, Michas,

and Yu (2013) examine the “contagion” effects within offices and find that offices with audit

Krishnan (2012). 101 Cairney and Young (2006), Hogan and Jeter (1999), Knechel, Niemi, and Zerni (2013), Liu and Simunic (2005). 102 Francis and Yu (2009), Choi, Kim, and Zang (2010), Michas, and Yu (2013).

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failures, as proxied by restatements, also have clients with higher DAC within the office. This

suggests that certain auditor offices have systematic and persistent audit-quality problems.

4.2.3 Evidence from the audit process

While limited in number, several studies identify audit process inputs that may affect auditor

competency. Intuitively, audit process inputs are direct measures of competency, and as such

provide salient evidence of audit quality factors. This literature finds that Dutch Big N auditors

improve quality by choosing lower materiality levels and deploying audit hours using a more

contextual and less procedural approach (Blokdijk, Drieenhuizen, Simunic, and Stein, 2003 and

2006).103 Materiality levels are also shown to affect auditors’ tolerance of earnings management

to meet or beat earnings forecasts (Legoria, Melendrez, and Reynolds, 2013). Lennox, Wu, and

Zhang (2013) also find that audit adjustments, another input to the audit process, are associated

with higher earnings smoothness, earnings persistence, and accrual quality. In addition, audit

partners compensation schemes also affect the likelihood of GC opinions (Carcello, Hermanson,

and Huss, 2000).104

4.3 Institutions and other factors

Auditors’ incentives and competencies are also affected by audit environment factors such as

regulatory intervention, market conditions, auditing standards, and the institutional environment.

However, with the exception of regulatory intervention (discussed in Section 5), research on

these other factors is relatively scarce. The limited evidence finds that auditors provide less effort

103 In contrast, Chewning, Wheeler, and Chan (1999) find evidence that the gains from equity-for-debt swaps follow a conventional percentage of income, rule-of-thumb materiality level. See Messier, Martinov-Bennie, and Eilifsen (2005) for a detailed review of the literature on materiality. 104 Studies also investigate how the audit process improves efficiency (Dopuch, Gupta, Simunic, and Stein, 2003; Knechel, Rouse, Schelleman, 2009). They find audit efficiency is affected by planning (Davidson and Gist, 1996; Newman and Patterson and Smith, 2001), analytical procedures (Hirst and Koonce, 1996), materiality levels (Mittendorf, 2010), competitive bidding (Johnstone, Bedard and Ettredge, 2004), resource allocation to detect fraud (Newman, Rhoades, and Smith, 1996), and partner-client familiarity (Vermeer, Rama, and Raghunandan, 2008).

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for IPOs when market conditions are favorable, that the precision of accounting standards affects

mangers’ incentives to manage earnings and auditors’ incentives to undo earnings management,

and that Big N audit quality is higher in countries with a more developed audit profession.105

4.4 Critique and future research on what drives auditor supply of audit quality

The literature on the supply of audit quality, which focuses on auditor incentives, suffers

from several limitations. One is that the research on auditor reputation risk is small. While there

is strong evidence from low-litigation risk foreign jurisdictions (e.g., Germany and Japan), the

US evidence is limited and confounded by litigation risk. Given that reputation incentives have

strong theoretical support and intuitive appeal, further research is needed on this fundamentally

important market-based incentive.

An extensive literature finds strong and consistent evidence that increased litigation risk

triggers a variety of auditor responses, including charging higher fees, increasing GC opinions,

reducing DAC, shedding riskier clients, and lobbying for litigation relief. While the evidence

from fees, GC opinions and DAC are largely consistent with litigation risk increasing audit

quality, much of this research is open to alternative explanations. The audit fee studies find

compelling evidence that auditors price a plethora of litigation risk factors, but most studies do

not disentangle whether the increased fees are due to increased audit effort (consistent with

higher audit quality), or simply risk premia (which is a deadweight loss). The non-fee studies

using GCs and DAC provide more direct evidence than the fee studies, but may be capturing

excessive auditor conservatism, which reduces audit quality. Auditors may respond to litigation

risk with excessive conservatism because GCs protect them from litigation (Thoman, 1996;

Kaplan and Williams, 2013). Thus, we call for additional research that teases out audit effort

105 Copley and Douthett (2009), Nelson and Elliott (2002), Michas (2011).

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from risk premia in fee studies, and to rule out reporting conservatism as an explanation for the

non-fee studies.

We also observe that the other strategies employed in response to litigation risk do not

improve, and may even harm, audit quality. Specifically, while shedding riskier clients should

improve audit efficiency through better auditor-client matching, it may reduce audit quality if the

subsequent auditor is lower quality. In addition, lobbying activities that lead to reduced litigation

risk may also reduce audit quality. These alternative mechanisms suggest that improving audit

quality is just one of several ways to mitigate litigation risk, and it is unclear which one auditors

will choose. In summary, given the costs imposed by litigation risk, it is not surprising that

auditors engage in a variety of strategies to mitigate its effects. Given the strong theoretical

predication that litigation risk improves audit quality, however, it is somewhat surprising that the

link to audit quality is not more conclusive. We also observe that empirical research rarely draws

on the rich theoretical literature in this area, which addresses a variety of questions regarding

audit quality. Thus, we believe future research would benefit from exploiting the insights found

in the theoretical literature.

The research examining Big N audit quality is one of the longest running sagas in the

auditing literature. This literature amasses a mountain of data supporting the contention that Big

N auditors provide higher audit quality. Recent work, however, suggests that the past research on

Big N audit quality is likely driven by client self-selection, casting doubt on the vast evidence of

Big N quality differentiation. We believe, however, that it is premature to dismiss the large body

of literature that supports Big N quality differentiation, especially because most of this literature

empirically addresses endogeneity concerns. Going forward, we recommend further research to

explore the extent of the problem of self-selection and endogeneity. We observe that while there

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is strong evidence that Big N auditors provide higher quality than their smaller counterparts,

what is less clear is why. In particular, Big N captures both auditor incentives and competency,

and most of the literature does not attempt to disentangle the two. In addition, the sparse research

on reputation risk, and the susceptibility of the litigation research to alternative explanations,

raises doubt about the role played by incentives in explaining Big N audit quality.

Recently, researchers are looking more carefully at a variety of audit firm characteristics

associated with auditor competencies. The characteristic most commonly examined is auditor

industry specialization and there is convincing evidence that specialist auditors provide higher

quality. A criticism of this literature is that it makes strong assumptions about the mechanisms

through which specialization improves audit quality. One assumption is that industry-specific

knowledge is transferrable across clients, personnel and over time, which requires sophisticated

knowledge management systems. Expertise gained on a particular client does not necessarily

benefit the audits of other clients in the same industry. They may not even benefit the audits of

the same clients over time, particularly given audit team turnover. Another assumption is that

auditors gain greater industry expertise by auditing a relatively larger proportion of clients in an

industry, as compared with auditing a single large client, or a few large clients in an industry.

There is also little consensus on how to empirically measure specialization, making it difficult to

compare the results across studies.

We encourage research on auditor competencies and suggest that the literature explore

factors beyond audit firm specialization. For example, we currently know little about basic

characteristics of audit firms such as their choice of ownership structure, governance systems,

audit quality control systems, compensation schemes, or audit technology.106 Knowledge of these

106 Existing evidence on these factors is limited. For example, survey evidence suggests that structured audit teams

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characteristics potentially provides insights into various input factors affecting auditor

competency and incentives.107 In addition to factors that affect the audit firm’s competencies, the

individual auditor’s competencies are also likely to play a role in providing high quality. Two

recent studies explore audit partner characteristics, such as educational background, political

affiliation, prior reporting history (Gul, Wu, and Yang, 2013; Knechel, Vanstraelen, and Zemi,

2013). We encourage future research to consider additional individual auditor characteristics,

such as professional skepticism, personality traits, gender, the complex audit team interactions,

and the socio-economic characteristics. Data to facilitate this analysis in the US may be available

as a result of a current PCAOB proposal that calls for the disclosure of information on the

identity of the signing auditor partner (PCAOB, 2011c).

We also note that in contrast to the large amount of evidence on size and specialization, the

audit process is a black box to archival auditing researchers, primarily due to data limitations. A

critical area of the audit process that has been virtually ignored in the archival literature is the

auditor’s assessment of fraud risk and audit procedures for detecting fraud. This is quite

surprising given the high profile frauds over the past two decades and the auditor’s increasing

responsibilities for fraud detection.108 The audit process is an area where field studies, survey

methodology, and behavioral research have a comparative advantage. Having said this, creative

settings and research designs may allow archival researchers to peek into the black box to

investigate interesting research questions.109

have more control over information overload but lower satisfaction with supervision (Rudolph and Welker, 1998). 107 While information on audit firm factors is currently sparse in the US, the US Treasury’s Advisory Committee on the Auditing Profession recently called for public disclosure of the Big N auditors’ audited financial statements, which would provide information on auditor characteristics beyond size and specialization (US Treasury, 2008). 108 While there is little recent archival research on the role of auditing in fraud assessment and detection, there is a large body of experimental and other work in this area. See Trompeter et al. (2013) for a review of that literature. 109 Blokdijk, Drieenhuizen, Simunic, and Stein (2003, 2006) and Feng and Li (2009) are examples of such attempts.

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5. What are the regulators’ concerns about audit quality?

Audit market regulation is a non-market-based mechanism that intends to improve audit

quality by altering auditors’ and clients’ market-based incentives and competencies. Regulators

traditionally intervene in audit markets following high profile audit failures, when market-based

incentives and competencies are perceived to have failed (DeFond and Francis, 2005). SOX,

which followed a spectacular series of alleged audit failures, is a recent case in point. A

fundamental question is whether regulatory intervention improves audit quality. For our

discussion, we divide the regulation literature into two groups. The first examines the effects of

regulatory intervention, both before and after SOX. The second investigates broad engagement-

specific characteristics that regulators have traditionally perceived as threats to auditor

independence, which are possible candidates on the agenda for future regulatory intervention.

5.1 What are the effects of regulatory intervention?

While regulatory intervention may change the equilibrium level of audit quality (as well

as its price and quantity), it is unclear whether the new equilibrium is preferable. While

policymakers seem to have a zero tolerance for audit failures, completely eliminating failures is

prohibitively costly. In addition, while regulatory intervention may benefit some, its “one size

fits all” nature may harm others. Thus, it is an empirical question whether regulatory intervention

improves audit quality. In this section we review the literature on the effects of both pre-SOX

and SOX regulation. We further divide SOX research into the overall effects of SOX and the

effects of specific SOX provisions.

5.1.1 The effects of pre-SOX regulation

Prior to the SOX, US audit markets were self-regulated, and the SEC intervened only

“indirectly through encouragement, and at times reprimands, of the profession” (PCAOB, 2007).

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For example, harsh criticism from the SEC following the McKesson and Robbins fraud in the

1930’s (the Enron of its time) led to auditing standards that required auditors to take physical

inventory counts and confirm accounts receivable. Condemnation from the SEC following a

spate of scandals in the 1970’s led to the AICPA self-regulatory framework for oversight of the

profession, which included AICPA Peer Reviews. However, direct regulatory intervention prior

to SOX was rare, focusing primarily on incremental changes to supply-side factors.110

Pre-SOX, regulators’ concerns motivated many studies, although actual regulatory

intervention was infrequent. While some pre-SOX studies find benefits from regulation,

regulation is often a double-edged sword that can also impair audit quality and/or efficiency. For

example, while banning price competition in municipal audit markets attracts higher quality

auditors, it also reduces audit efficiency (Hackenbrack, Jensen, and Payne, 2000). Similarly,

while lifting the ban on auditors’ solicitation of public companies improves audit quality

(Chaney, Jeter, and Shaw, 1997), this is actually the repeal of prior regulation, which originally

reduced audit quality. In addition, while the SEC’s requirement to publicly disclose audit fees

improves the alignment between audit fees and client risk, this is an unintended benefit (Francis,

Wang, and Mayhew, 2005).111

5.1.2 The overall effects of SOX

The shift from self-regulation to government-regulation under SOX marks an

unprecedented change in the history of regulatory intervention in US audit markets and is the

focus of most auditing research over the last decade. While SOX includes other provisions, the

vast majority of the reforms are attempts to improve audit quality. Thus, SOX studies are 110 We do not suggest that all pre-SOX intervention was supply side. An exception is the requirement to disclose audit fees. However, this requirement for additional disclosure differs fundamentally from SOX requirements that dictate practices such as firm’s hiring decisions related to board members. 111 Theory also suggests that the 150 hour rule potentially harms audit quality by raising the profits of less qualified pre-150 hour rule CPAs, who remain active longer than they otherwise would have (Lee, Liu, and Wang, 1999).

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implicitly auditing studies. Empirical research investigates the overall effects of SOX by

inferring its effectiveness from the stock price reaction to its passage, and by comparing audit

quality metrics before and after SOX.

Studies examining the stock price reaction to SOX provide evidence on its perceived

effects on audit quality. A conceptual advantage of gauging SOX’s effectiveness from stock

prices is that they capture the expected net benefits to SOX’s intended beneficiaries. Overall,

these studies find mixed evidence. While several studies find that SOX increases shareholder

value, at least for a subset of firms, others find it decreases shareholder and bondholder value,

particularly for cross-listed firms.112 However, there are several challenges that make it difficult

to determine which studies are most convincing (Leuz, 2007; Karolyi, 2009). One challenge is

identifying appropriate benchmark firms that are unaffected by SOX. Another important

challenge for event studies is the choice of event dates, which may partially explain some of the

contradictory results.

Studies using more direct audit quality measures are limited. One finds that after SOX

auditors are more likely to issue GC opinions prior to bankruptcy, consistent with improved

auditor independence (Geiger, Raghunandan, and Rama, 2005). However, this could be due to

excessive auditor conservatism, and the increase appears to be short-lived, reverting to pre-SOX

levels after 2003 (Fargher and Zhang, 2008; Feldmann and Read, 2010). There is also evidence

that SOX decreases earnings management, which is consistent with theory suggesting that SOX

improves internal controls (Patterson and Smith, 2007). For example, firms put relatively more

weight on bonus contracts subsequent to SOX, consistent with reduced earnings management

(Carter, Lynch, and Zechman, 2009). While accruals management falls following SOX, real

112 Jain and Rezzae (2006), Li, Pincus, and Rego (2008), Hochberg, Sapienza, and Vissing-Jorgensen (2009), Zhang (2007), DeFond, Hung, Carr, and Zhang (2011), Litvak (2007), Berger, Li, and Wong (2011).

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earnings management increases, which is arguably more harmful to shareholders (Cohen, Dey,

and Lys, 2008). SOX also improves price efficiency, as indicated by smaller negative drifts

following restatements (Burks, 2011), and more informative insider trading disclosures (Brochet,

2010).

A variety of studies identify SOX-related changes with ambiguous effects on audit

quality. For example, several studies find a shift in client market share from Big 4 to non-Big 4

auditors.113 While this appears to be a flight to lower audit quality, it may be explained by

capacity constraints imposed on Big 4 auditors due to additional Section 404 audit work

(Landsman, Nelson and Rountree, 2009). In addition, the flight to smaller auditors may not have

reduced audit quality because non-Big 4 quality increases after SOX (DeFond and Lennox,

2011). Not surprisingly, SOX is also followed by an increase in audit fees, as well as an increase

in director’s pay and litigation insurance (Raghunandan and Rama, 2006; Linck, Netter, and

Yang, 2009). While increased fees may suggest improved audit quality, the additional effort to

comply with SOX may or may not translate into higher quality. Notably, the aggregated increase

in audit fees more than compensates for the lost NAS fees from the near ban on NAS (Ghosh and

Pawlewicz, 2009). Thus, a potential consequence of the SOX-driven increase in audit fees may

be increased auditor financial dependence on their clients. Interestingly, this indicates that audit

fees may potentially pose the same threat to auditor independence in the post-SOX environment

that NAS fees were feared to pose in the pre-SOX environment.114

113 Hogan and Martin (2009), Chang, Cheng, and Reichelt (2010), DeFond and Lennox (2011). 114 In addition, many SOX studies find unfavorable outcomes unrelated to audit quality (e.g., Engel, Hayes, and Wang, 2007; Leuz, Triantis, and Wang, 2008; Piotroski and Srinivasan 2008; Gao, 2011; Hansen, Pownall, and Wang, 2009; Gao, Wu, Zimmerman 2009; Bargeron, Lehn, and Zutter, 2010; Kang, Liu, and Qi, 2010).

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5.1.3 SOX provisions that intervene in the demand for audit quality

Major SOX provisions include requiring financial expertise on audit committees, Section

404 audits, restricting the employment of former auditors, mandating PCAOB inspections,

moving auditing standard setting to the PCAOB, and proscribing NAS.115,116 A feature that

distinguishes SOX from most prior regulatory intervention, is that it focuses on more than just

supply-side factors. SOX intervenes in a variety of demand-side factors, including audit

committee characteristics and investments in internal controls. SOX also affects both client

incentives and their competencies to demand audit quality. For example, Section 404 increases

client incentives to demand audit quality, while audit committee requirements increase client

competencies to fulfill this demand. 117 Below we discuss research on the individual SOX

provisions that primarily affect client demand for audit quality.

5.1.3.1 Audit committee provisions

A major consequence of SOX is raising public awareness of the role auditing plays in

effective corporate governance. Perhaps the most visible sign of this “upgrade” in the status of

the auditing profession are the SOX mandated changes to the audit committee. The audit

committee mandates differ fundamentally from most other SOX provisions because they attempt

to increase the demand for audit quality by improving client governance. This contrasts with

most other SOX changes, which attempt to increase audit quality by changing auditor behavior,

for example by reducing financial dependence on the client (i.e., reducing NAS fees).

115 We do not examine studies that explore SOX provisions that may indirectly affect the demand or supply of audit quality, such as the requirement for CFO/CEO certification of the financial statements, which may increase the demand for audit quality. 116 We include NAS and former audit partner employment in this section because they are part of the SOX regulations. In Section 5.2, we discuss other potential engagement specific threats to audit quality that are not included in SOX (such as client importance). 117 Other SOX requirements increasing client incentives to demand audit quality include CEO/CFO certification, increased fraud penalties, and the potentially negative consequences to clients of adverse PCAOB inspection reports.

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SOX requires entirely independent directors and one financial expert on the audit

committee. In addition, new NYSE and NASDAQ listing requirements adopted pursuant to SOX

(but not directly from SOX) require at least three directors on the audit committee.118 Notably,

these three changes intend to increase client demand for audit quality by altering both client

incentives and competencies. Increasing director independence attempts to increase incentives,

while increasing financial expertise and size attempts to improve client competencies.119

Most studies investigate whether audit quality improves with these three requirements,

with some studies also examining meeting frequency, and audit committee compensation.120

While increased independence is likely to improve audit quality, the benefits may not outweigh

the costs. For example, increasing independence may replace inside directors with outside

directors, who have greater independence but less firm-specific expertise. In addition, it is

unclear whether this provision actually improves independence, because major US stock

exchanges have required (or encouraged) 100% audit committee independence since 1999. It is

also not obvious that increasing committee size improves audit quality, since larger boards may

be less efficient due to agency problems such as free-riding (Hermalin and Weisbach, 2003).121

Most research asks whether SOX’s audit committee provisions improve audit quality and

finds strong support. One group examines the committee’s choice of inputs to the audit process.

They find that more independent committees tend to hire industry specialists, and pay higher

118 Other audit committee changes required under SOX are: the audit committee must appoint the outside auditor; management must provide the audit committee access to advisors and other experts; the audit committee must implement whistle-blowing procedures to accommodate accounting related employee complaints; and the audit committee must approve the purchase of non-audit services not prohibited by SOX. 119 Audit committee independence is also associated with higher quality boards of directors (Klein, 2002b). 120 Interest in meeting frequency is motivated by the Blue Ribbon Committee on Improving the Effectiveness of Corporate Audit Committees (1999), a panel organized by the SEC and the major US stock exchanges. We note, however, that more frequent meetings may also signal problems, such as those arising from restatements or SEC enforcement letters. 121 Theory suggests that audit committees may improve audit quality by countering management’s reporting bias (Caskey, Nagar, and Petacchi, 2010), and by inducing truth telling in auditors (Kornish and Levine, 2004).

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fees.122 However, higher fees may also capture higher misstatement risk. There is also evidence

that independent audit committees minimize perceived threats to audit quality by purchasing less

NAS, not hiring former auditor employees, and dismissing Andersen more quickly. In addition,

financial experts are associated with many of these outcomes, as are meeting frequency and

committee size but to a lesser extent.123 Finally, audit committees receive higher pay when the

demand for audit quality is higher.124

Another group examines the committees’ effects on audit outputs and also finds strong

support. Early studies find that firms who voluntarily choose to have an audit committee have

fewer restatements and better governance (DeFond and Jiambalvo, 1991; Pincus, Rusbarsky, and

Wong, 1989). Since SOX, this research has mushroomed, finding broad based evidence that

independence and expertise are associated with fewer restatements, smaller DAC, fewer ICMWs

in auditor change 8-Ks, and timelier resolution of ICMWs. Financial expertise is further

associated with more conservatism, higher accruals quality, and positive price reactions to their

appointment.125 Independence is further associated with more GCs, fewer auditor resignations,

less benchmark beating, lower cost of debt, and fewer auditor dismissals following GCs

(consistent with protecting auditor from management reprisals).126

122 Higher quality boards are also associated with higher audit fees (Carcello, Hermanson, Neal, and Riley, 2002). Further, the association between audit committees and fees varies with firm risk (Krishnan and Visvanathan, 2009). 123 Consistently, a survey finds that committee independence, expertise and meeting frequency are associated with outsourcing non-routine internal audit services to external auditors (which should not create an economic bond), but not routine internal audit services (which should create a bond) (Abbott, Parker, Peters, and Rama, 2007). 124 For audit inputs, see Abbott and Parker (2000), Abbott, Parker, Peters, and Raghunandan (2003b). For perceived threat, see Abbott, Parker, Peters, and Raghunandan (2003a), Lennox and Park (2007), Chen and Zhuo (2007). For audit committees pay, see Engel, Hayes, and Wang (2010). 125 In particular, accounting-related financial expertise explains the association with high audit quality (e.g., DeFond, Hann, and Hu, 2005; Krishnan, 2005; Krishnan and Visvanathan, 2008; Dhaliwal, Naiker, and Navissi, 2010). 126 For evidence on independence and expertise, see Abbott, Parker, and Peters (2004), Klein (2002a), Xie, Davidson, and DaDalt (2003), Bedard, Chtourou, and Courteau (2004), Krishnan (2005), Goh (2009). For further evidence on expertise, see Krishnan and Visvanathan (2008), Dhaliwal, Naiker, and Navissi (2010), DeFond, Hann, and Hu (2005), Engel (2005). For further evidence on independence, see Carcello and Neal (2000), Lee, Mande, Ortman (2004), Vafeas (2005), Anderson, Mansi, and Reeb (2004), Carcello and Neal (2003).

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Finally, limited evidence suggests other audit committee characteristics also improve

audit quality. Specifically, larger committees are associated with more frequent and accurate

management forecasts and fewer ICMWs, legal expertise is associated with lower DAC, and

more frequent meetings are associated with fewer auditor resignations and smaller DAC.127

Moreover, audit committees compensated by stock options or chosen by a nominating committee

that includes the CEO have more restatements. Restatements also increase audit committee

turnover.128

To summarize, independent audit committees choose high quality audit inputs and reduce

perceived threats to audit quality; and committee independence and expertise are associated with

many output-based audit quality proxies with complementary strengths and weaknesses (e.g.,

restatements, GCs, DAC, auditor size and specialization, and market reactions). These studies

provide strong evidence that client demand is important in explaining audit quality.

Most audit committee studies consist of association tests, which are susceptible to

endogeneity concerns. One way to address the endogeneity concern is to gain a better

understanding of the factors that affect the choice of audit committee characteristics. 129 In

addition to addressing endogeneity, a natural path for moving this well-researched literature

forward is to identify new committee characteristics that affect audit quality. This would build on

the current literature that examines the personal and social characteristics of board members in

the governance literature. For example, a recent study finds that committee members’ industry

expertise and social ties affect restatements and DAC (Cohen, Hoitash, Krishnamoorthy, and 127 In contrast, survey evidence suggests that audit committees are largely ceremonial (Beasley, Carcello, Hermanson and Neal, 2009; Cohen, Krishnamoorthy, and Wright, 2002 and 2010). 128 For evidence on large committees, see Karamanous and Vafeas (2005), Goh (2009), Krishnan, Wen, and Zhao (2011), Abbott, Parker, and Peters (2004), Xie, Davidson, and DaDalt (2003). For evidence on committee compensation and turnover, see Archambeault, Dezoort, and Hermanson (2008), Carcello, Neal, Palmrose, and Scholz (2011), Srinivasan (2005). 129 Farber (2005) finds that audit committee quality strengthens following fraudulent activities.

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Wright, 2013; Hwang and Kim, 2012). Going beyond the current committee characteristics

affected by SOX can provide insights into the effect of “voluntary” audit committee quality.

5.1.3.2 Section 404 internal control audits

This section discusses research on what is arguably the most costly and controversial

SOX provision, Section 404.130 Section 404 requires both management and auditors to attest to

the efficacy of the client’s internal controls over financial reporting. Management’s 404 report

also requires managers to acknowledge their responsibility for the adequacy of internal controls.

Section 404 intends to improve financial reporting quality by providing incentives for clients to

increase the quality of their internal controls, and increase the supply of audit quality by

requiring auditors to formally evaluate and opine on the internal controls. Thus, while we include

404 under “demand” factors, it is also related to the supply of audit quality. In Section 3.1.2.2 we

discuss whether the 404 opinion is informative to the market. In this section we review studies

that investigate other economic consequences of 404 internal control audits.

Much of the research documents the characteristics of firms with adverse 404 opinions

disclosing Internal Control Material Weaknesses (ICMWs). ICMW firms tend to be smaller and

distressed, have CFOs with weaker accounting credentials, less independent audit committees,

less internal control monitoring technology, and no clawback provisions. Consequently, ICMW

firms pose higher audit risk, as evidenced by more earnings management, less accounting

conservatism, poor accrual quality, less accurate management guidance, higher fees and more

resignations. 131 However, the explanatory power of ICMW prediction models are low,

suggesting there is much more to be learned.132

130 Krishnan, Rama, and Zhang (2008) estimate that average Section 404 implementation costs per client were $2 million, with the largest quartile of clients paying $4.5 million, equivalent to 0.5% of sales revenues. 131 For characteristics studies, see Doyle, Ge, and McVay (2007a), Li, Sun, and Ettredge (2010), Hoitash, Hoitash,

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Studies on the consequences of 404 audits find that ICMWs trigger improved monitoring,

as evidenced by increased audit committee and executive turnover, and reduced CFO bonuses.

Perhaps as a consequence, ICMW remediation improves accrual quality and investment

efficiency, and reduces fees and reporting lags. Moreover, ICMWs also provide new information

that changes user behavior, reducing donor contributions to not-for-profits, reducing bondholder

reliance on financials, and increasing cost of debt. However, ICMWs do not predict

restatements.133

Overall, ICMW firms have poor governance and performance, and monitoring improves

subsequent to the ICMW opinion. However, if ICMWs are informative, it is puzzling that the

market does not react to the announcement of ICMW 404 opinions, as discussed in Section

3.1.2.2. Yet it is unclear whether the expected reaction is positive or negative. While ICMWs

identify poorly performing firms, suggesting a negative reaction, they also signal subsequent

improvement, suggesting a positive reaction. Thus, further evidence on the informativeness of

ICMWs is needed. In addition, while finding changes in behavior following ICMWs suggests

users respond, it does not imply causality. If ICMWs are correlated with poor governance, these

firms would have changed even without the ICMW opinion. Finally, it is difficult to disentangle

the effects of management’s 404 reports from the effects of auditors’ 404 reports.

and Bedard (2009), Masli, Peters, Richardson, and Sanchez (2010), Chan, Chen, Chen, and Yu (2012). For consequence studies, see Chan, Farrell, and Lee (2008), Goh and Li (2011), Doyle, Ge, and McVay (2007b), Feng, Li. and McVay (2009), Hoitash, Hoitash, and Bedard (2008), Ashbaugh-Skaife, Collins, and Kinney (2007). 132 Lu, Richardson, and Salterio (2011) find that disclosures regarding internal control weaknesses in Canadian MD&A are also associated with poor earnings quality. Theory suggests that managers with strong incentives to commit fraud prefer weak controls and that auditors exert less effort investigating fraud in the presence of weak controls (Caplan, 1999). 133 For monitoring studies, see Li, Sun, and Ettredge (2010), Wang (2010), Johnstone, Li, and Rupley (2011), Hoitash, Hoitash and Johnstone (2012). For remediation studies, see Ashbaugh-Skaife, Collins, Kinney, and LaFond (2008), Cheng, Dhaliwal, and Zhang (2013), Hoitash, Hoitash, and Bedard (2008), Hoag and Hollingsworth (2011), Munsif, Raghunandan, and Rama (2012). For user behavior studies, see Petrovits, Shakespeare, and Shih (2011), Costello and Wittenberg-Moerman (2011), Dhaliwal, Hogan, Trezevant, and Wilkins (2011), Kim, Song, and Zhang (2011), Rice and Weber (2013).

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5.1.3.3 Restrictions on former auditor employees (FAEs)

Several high profile accounting scandals involved companies whose senior financial

officers were employed by their auditors (e.g., Enron), raising the concern that these “revolving

door” practices impair audit quality. As a result, SOX prohibits auditors from servicing clients

whose financial officers or directors served on the engagement during the prior year. This one

year “cooling off” period stems from concerns that FAEs’ familiarity with the auditor’s

procedures provide opportunities to circumvent them. In addition, the audit team’s familiarity

with FAEs may reduce their independence (Beasley, Carcello, and Hermanson, 2000), and

FAEs’ desires to please their future employer may compromise their independence prior to

joining clients. Counter arguments, however, suggest FAEs improve audit quality, because they

know the clients’ financial reporting systems. Requiring a cooling off period may also harm

auditors’ ability to hire high quality personnel, since gaining employment with clients has

historically been a career benefit. In addition, auditors’ litigation and reputation concerns may be

sufficient to counter this threat. Thus, it is ultimately an empirical question whether FAEs impair

audit quality. While FAEs pose threats to both client demand and auditor supply of high audit

quality, we classify the FAE provision under demand-side factors because the intent of the

regulatory solution is to restrict client behavior.

The number of studies on this issue is small and the results quite mixed. Some studies

find that FAEs threaten audit quality. Specifically, companies with FAEs have higher DAC,

fewer GCs, are less likely to miss earnings expectations, and more likely to be replaced

following GCs. Other studies, however, find that FAEs either improve or have no effect on audit

quality. Specifically, the market responds favorably to FAE appointments, companies with FAEs

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report fewer internal control weaknesses and lower DAC, FAEs on audit committees procure less

NAS, and newly appointed FAE CFOs are not associated with higher DAC.134

The mixed evidence on whether FAEs threaten auditor independence is interesting for

two reasons. One is that the two studies examining GCs find that FAEs reduce audit quality,

while the three studies examining DAC find mixed results. This is puzzling because if FAEs

compromise auditors’ GC decisions, it seems they should also compromise auditors’ tolerance of

within-GAAP earnings management, which is less egregious. A second is that pre-SOX studies

find that FAEs impair audit quality, while the single post-SOX study finds that FAEs improve

audit quality. This suggests that other incentives, such as CEO/CFO certification, may be

sufficient to overcome FAE threats. However, we caution that it is difficult to compare these

studies due to design differences. Going forward, we believe research would benefit from

examining additional audit quality proxies, and from considering other client-management

characteristics, such as social connections with management.

5.1.4 SOX provisions that intervene in the supply of audit quality

SOX attempts to increase the supply of audit quality by increasing both auditor incentives

and competencies. For example, PCAOB inspections attempt to increase auditor competency by

remediating poor auditing practices, while proscribing NAS attempts to increase auditor

incentives by increasing their independence.135

5.1.4.1 PCAOB audit firm inspections

The most fundamental change imposed by SOX is replacing self-regulation of the audit

market with government regulation. This resulted in creating the PCAOB, whose mandate is to

134 For threat studies, see Menon and Williams (2004), Lennox (2005a). For improvement and no result studies, see Geiger, Lennox, and North (2008), Naiker and Sharma (2009), Naiker, Sharma, and Sharma (2013), Geiger and North (2006). 135 Regulatory intervention that also increases competencies includes licensure requirements and the 150-hour rule.

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"protect the interests of investors and further the public interest in the preparation of informative,

fair, and independent audit reports.” The PCAOB reports to the SEC and has broad powers to

regulate the audit market, including oversight and discipline of public accounting firms.

One of the PCAOB’s most controversial oversight mechanisms is mandatory audit firm

inspections, which replace voluntary peer reviews conducted under the AICPA.136 Comparing

the AICPA peer reviews with the PCAOB inspections provides an opportunity to contrast self-

regulation versus government regulation in the auditing profession. PCAOB inspectors differ

from AICPA peer reviewers on two fundamental dimensions: independence and expertise. The

PCAOB chooses inspectors with an emphasis on independence from the auditing profession. As

such, the inspectors cannot be practicing CPAs. This contrasts with AICPA reviewers, who are

practicing CPAs. This contrast presents a classic trade-off between independence and expertise, a

central feature in the debate between the benefits of self-regulation versus government regulation

(e.g., Stigler 1971; Peltzman 1976).

One motivation for establishing PCAOB inspections is widespread criticism that AICPA

peer reviews are ineffective, due to their lack of independence. Despite this criticism, however,

peer review reports predict audit failures and auditor-client realignment, although the most useful

information in the reviews is the evaluation of auditors’ quality control systems and an overall

audit firm rating. 137 This provides evidence that audit market participants value auditor

competencies, in this case the effectiveness of their audit quality control systems.

PCAOB inspections have also been criticized because inspectors lack current auditing

expertise (DeFond, 2010) and are under pressure to identify problems (Farrell and Shabad,

136 AICPA reviews still exist after SOX, but with greatly reduced scope (Lennox and Pittman, 2010a; DeFond, 2010). 137 Casterella, Jensen, and Knechel (2009), Hillary and Lennox (2005), Lennox and Pittman, (2010a).

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2005). Thus, whether the inspections improve audit quality is unclear. Supporting evidence finds

that the inspections improve audit quality for small auditors. Specifically, inspections identify

substandard small auditors, as evidenced by restatements and DAC (Abbott, Gunny, and Zhang,

2013); and have a remedial effect on small auditors, as evidenced by increased GCs following

the inspections (Gramling, Krishnan, and Zhang, 2011).138 Further, threat of the inspections

drove nearly half of all small audit firms to exit the market, with their clients switching to higher

quality auditors (DeFond and Lennox, 2011). There is little evidence, however, that PCAOB

inspections improve audit quality for large auditors. In particular, unfavorable PCAOB

inspections do not result in auditor-client realignment, due to their lack of information on

auditors’ quality control systems (Lennox and Pittman, 2010a).139 We caveat, however, that the

limited number of studies in this area makes it difficult to draw definitive conclusions.

5.1.4.2 PCAOB standard setting

The PCAOB also replaces the Auditing Standards Board (ASB) in setting auditing

standards. The contrast between the two boards also presents a classic trade-off between

independence and expertise. While the majority of the PCAOB members cannot be CPAs, ASB

members were primarily CPAs. The PCAOB’s first substantive standards (AS2 and AS3) led to

a significant increase in reporting lags by forbidding the “roll forward” of information from prior

audits. This lag resulted in an increase in unaudited earnings announcements, which were

subsequently revised (Bronson, Hogan, Johnson and Ramesh, 2011). Their replacement with

AS5 reduced duplicate testing, and better aligned audit fees with client risk (Doogar, Sivadasan,

and Solomon, 2010). While comparing standard setting under different regimes is interesting, the

138 Survey evidence suggests that smaller CPA firms perceive the initial PCAOB inspection to negatively impact their practice while medium and larger firms report more positive consequences (Daugherty and Tervo, 2010). 139 However, PCAOB sanctions against Deloitte in 2007 are followed by auditor-client realignment, and a negative market reaction among Deloitte clients (Boone, Khurana and Raman, 2013; Dee, Lulseged, and Zhang, 2011).

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evidence is too limited to draw conclusions. In addition, the effectiveness of standard setting is

difficult to gauge since it involves broader consideration of the social-welfare of all stakeholders.

Going forward, we encourage researchers to consider more explicitly the various forces

that shape standards and standard setting. We also encourage more research on the consequences

of standard setting by examining how auditing standards might change the auditor’s incentives

and/or competency, and ultimately audit quality. For example, the recently adopted Auditing

Standards No. 16, which emphasizes the continuous nature of audit quality, potentially

strengthens auditors’ incentives to improve accounting quality.

5.1.4.3 Proscription of non-audit services

The SEC’s objections to auditor provided non-audit services date back to 1957 (POB,

2000) and academic research began shortly thereafter (Schultz, 1985). Regulators are concerned

that NAS threatens auditor independence by putting auditors in management roles and by

making them financially dependent on their clients. Prohibiting most NAS suggests that

regulators perceive that litigation and reputation incentives are insufficient to maintain auditor

independence. However, while NAS may impair independence, it may also create “knowledge

spillovers” that improve auditor competency and efficiency (Simunic, 1984). If the benefits of

improved competency outweigh the costs of reduced independence, banning NAS may reduce

audit quality and efficiency (Beck and Wu, 2006; Lu and Sapra, 2009).140

Early research, using fees from surveys, provides mixed evidence (Simunic, 1984;

Palmrose, 1986). Recent studies, using fees from publicly available data, paint a more consistent

pattern: the effect of NAS on audit quality depends on whether the study examines actual or

perceived audit quality. Most studies examining actual audit outputs fail to find that NAS

140 Surveys suggest spillovers vary across auditor technology for knowledge retention (Salterio and Denham, 1997).

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impairs audit quality. In particular, NAS is not associated with restatements, GC opinions,

DACs, meeting or beating earnings benchmarks, or conservatism.141 However, a few studies

suggest NAS impairs audit quality. In particular, NAS is associated with higher restatements in

the UK, lower accruals quality, higher DAC, fewer GC opinions (but only in limited settings),

and less concern about internal audit quality. Nonetheless, the large majority of studies

employing output-based proxies find no evidence that NAS impairs audit quality.142 In contrast,

most studies that examine perception-based proxies conclude that NAS impairs quality. In

particular, NAS is associated with lower ERCs, more negative abnormal returns among

Andersen clients, higher cost of capital, and lower likelihood of auditor ratification. However, a

few studies find that NAS does not impair perceived quality, as captured by bond ratings, and

abnormal returns among large Andersen clients. 143

A striking finding in this literature is that some NAS actually improves audit quality,

consistent with knowledge spillovers. Tax-related NAS is associated with fewer restatements,

less earnings management, more accurate GCs, and more accurate tax reserves; and internal

audit-related NAS reduces fraud risk.144 However, publicly disclosing NAS fees reduces tax-

related NAS purchases, suggesting that it is perceived as a threat (Omer, Bedard, and Falsetta,

141 Kinney, Palmrose, and Scholz (2004), Patterson and Valencia (2011), Knechel and Sharma (2012), DeFond, Raghnandan, and Subramanyam (2002), Geiger and Rama (2003), Li (2009), Callaghan, Parkash, and Singhal (2009), Ashbaugh, LaFond, and Mayhew (2003), Koh, Rajgopal, and Srinivasan (2012), Lim and Tan (2008), Chung and Kallapur (2003), Larcker and Richardson (2004), Reynolds, Deis, and Francis (2004), Huang, Mishra, and Raghunandan (2007), Ruddock, Taylor, and Taylor (2006). 142 Ferguson, Seow, and Young (2004), Srinidhi and Gul (2007), Frankel, Johnson, and Nelson (2002), Kinney and Libby (2002), Gul, Jaggi, and Krishnan (2007), Ye, Carson, and Simnett (2011), Felix, Gramling, and Maletta (2005). 143 For supporting evidence, see Higgs and Shantz (2006), Francis and Ke (2006), Krishnan, Sami, and Zhang (2005), Krishnamurthy, Zhou, and Zhou (2006), Khurana and Raman (2006), Raghunandan, (2003), Raghunandan, and Rama (2003), Mishra, Raghunandan, and Rama (2005), Liu, Raghunandan and Rama (2009), Dao, Raghunandan, and Rama (2012). For non-supporting evidence, see Brandon, Crabtree, and Maher (2004), Chaney and Philipich (2002). 144 Kinney, Palmrose, and Scholz (2004), Patterson and Valencia (2011), Cook, Huston, and Omer (2008), Robinson (2008), Gleason and Mills (2011), Prawitt, Sharp, and Wood (2012).

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2006). Somewhat surprisingly, however, spillovers are not reflected in reduced audit fees, even

though they reduce reporting lags (Wu, 2006; Whisenant, Sankaraguruswamy, and

Raghunandan, 2003a; Knechel and Sharma, 2012).

Taken together, studies using output-based proxies find that NAS does not impair auditor

quality, and some NAS may even improve it; while studies using perception-based proxies find

that investors penalize companies purchasing NAS.145 Investors’ negative perception of NAS

may arise from concerns that it increases regulatory scrutiny and litigation risk, even if it does

not impair quality. Consistently, companies with restatements that purchase more NAS have a

greater likelihood of auditor litigation, suggesting that juries believe NAS threatens auditor

independence even when the evidence suggests otherwise (Schmidt, 2012). Alternatively,

perception-based proxies may be more powerful in detecting audit quality dimensions not

captured by output-based proxies. For example, NAS may reduce the quality of client footnote

disclosures, a dimension not captured by DAC or GCs, that should be captured by investor

perceptions. A limitation of this research, however, is that firms are not required to disclose the

type of NAS they purchase, with the exception of tax and systems NAS. The proxy typically

used, total NAS fees, captures only the threat of financial dependence, but not the threat to

independence from auditors taking on management roles. Thus, NAS studies may not adequately

capture the channel through which NAS impairs audit quality.

5.2 Regulatory concerns about perceived threats to auditor independence

This section discusses studies that investigate a variety of engagement-specific

characteristics that regulators perceive as threats to audit quality, but that are not included in

SOX. These include studies on the audit quality implications of long auditor tenure, opinion

145 This is consistent with the observation made in Francis (2006).

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shopping, low-balling, client importance, and market structure. These perceived threats have

been the focus of regulatory scrutiny for decades and may well appear in future regulation. We

organize this section based on whether the potential intervention targets the client’s demand for,

or the auditor’s supply of, audit quality.

5.2.1 Perceived threats to auditor independence – client demand-side factors

5.2.1.1 Long auditor-client tenure

Regulators have long shown concern that long auditor-client tenure breeds familiarity

that threatens auditor independence. A commonly proposed solution is to alter client demand by

mandating auditor rotation (e.g., AICPA, 1978; Turner, 2002b; PCAOB, 2011a).146 Critics of

mandatory rotation, however, argue that it destroys client-specific knowledge gained from long

auditor-client tenure, and allows “opinion shopping” under the guise of moving to a more

independent auditor (PCAOB, 2011b; Beck and Wu, 2006).147

Most studies find that long tenure improves audit quality. In particular, long tenure is

associated with fewer AAERs, more GCs, lower DAC and higher ERCs, and a lower cost of

debt.148 In addition, long tenure does not affect audit adjustments or private firms’ cost of debt,

mandatory rotation in Spain does not affect GCs, and voluntary auditor switches increase

reporting lags. 149 However, some studies find that long tenure threatens audit quality. In

particular, long tenure is associated with fewer GCs and more benchmark beating in Australia,

146 Long tenure may also be viewed as a supply-side factor because it potentially reduces auditor independence. 147 SOX Section 203 mandates partner rotation, although it is unclear whether it improves audit quality, because new partners within the same firm lack incentives to identify prior misstatements. While partner rotation improves quality in China, it does not in Taiwan (Lennox, Wu, and Zhang, 2013; Chi, Huang, Liao, Xie, 2009). 148 St. Pierre and Anderson (1984), Carcello and Nagy (2004), Louwers (1998), Geiger and Raghunandan (2002), Knechel and Vanstraelen (2007), Myers, Myers, and Omer (2003), Gul, Jaggi, and Krishnan (2007), Johnson, Khurana, and Reynolds (2002), Chen, Lin, and Lin (2008), Ghosh and Moon (2005), Mansi, Maxwell, and Miller (2004). 149 Fortin and Pittman (2007), Joe, Wright, and Wright (2011), Ruiz-Barbadillo, GomezAquilar, and Carrera (2009), Schwartz and Soo (1996b).

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higher audit fees for former Andersen clients, and lower earnings quality before SOX (but also

short tenure).150

Overall, most studies find that long tenure does not impair audit quality and may even

improve it. An unresolved question, however, is why short tenure lowers audit quality. One

explanation is that auditors have less client-specific knowledge in early years, and hence less

competence in detecting substandard reporting. Another is that auditors have stronger incentives

to yield to client pressure in early years due to low-balling (Gul, Fung, and Jaggi, 2009). A third

explanation is reverse causality: low audit quality increases auditor turnover, thereby shortening

auditor tenure. Thus, further research is needed to disentangle these explanations.

5.2.1.2 Opinion shopping

“Opinion shopping,” a long-held regulatory concern (e.g., US Senate, 1977), refers to

clients seeking successor auditors who are willing to issue a clean audit opinion when the

incumbent threatens to issue a GC. Opinion shopping can harm audit quality if either the

incumbent or the successor yields to client pressure to issue a clean opinion when a GC is

warranted, thereby impairing auditor independence. One way US regulators attempt to curtail

opinion shopping is by requiring auditor change 8-Ks to disclose auditor-client disagreements

and auditors’ concerns about clients’ internal controls. In addition, predecessor auditors must

make their working papers available to successors, which may also curtail opinion shopping.

Early studies find that while auditor changes increase following GCs, switchers are not

more likely to receive a clean opinion from the successor auditor (Chow and Rice, 1982; Smith,

1986; Krishnan, 1994), suggesting that opinion shopping does not impair auditor independence

(Lu, 2006). However, opinion-shopping clients are expected to compare the probability of

150 Carey and Simnett (2006), Davis, Soo, and Trompeter (2009), Kealey, Lee, and Stein (2007).

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receiving an unfavorable opinion from the incumbent auditor with the probability of receiving a

more favorable opinion from the successor auditor (Teoh, 1992). Once this “what if” scenario is

explicitly considered in the UK, clients decide to switch or not based on whether it maximizes

their likelihood of receiving a clean opinion (Lennox, 2000). Thus, evidence suggests that

opinion shopping is successful, which reduces GCs thereby lowering audit quality. Similar

results are found in China, where clients avoid unfavorable opinions by switching to local

auditors, or smaller auditors in response to regulation that increases large auditors’ unfavorable

opinions (Chan, Lin, and Mo, 2006; DeFond, Wong, and Li, 2000).

One limitation of this research is the limited number of studies. Another is that opinion

shopping may not only reduce GCs, but also impair audit quality on other dimensions. Issuing a

clean opinion when a GC is appropriate suggests a lack of independence, which may also be

reflected in increased restatements and earnings management. In addition, regulatory

prescriptions designed to curb opinion shopping may have unintended negative consequences.

For example, in South Korea, Portugal, and France, regulators attempt to prevent opinion

shopping through forced auditor retention, which conflicts with mandatory auditor rotation. In

addition, mandatory rotation may exacerbate opinion shopping by allowing clients to find a more

pliable auditor under the guise of switching to a more independent one (PCAOB, 2011b). Thus, a

regulatory solution that mandates both rotation and retention may also have to intervene further

by choosing the successor auditor in order to prevent opinion shopping. The cost to such an

approach, of course, would be the loss of efficiency that is gained from the current practice of

auditor-client alignment based on matching client characteristics with the auditor best suited to

serve their needs (Johnson and Lys, 1990).

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5.2.2 Perceived threats to auditor independence – auditor supply-side factors

5.2.2.1 Low-balling

“Low-balling” refers to the practice of discounting fees in the initial engagement year to win

the client, with the intention of subsequently recouping these losses. Regulators have long argued

that this practice compromises auditor independence by effectively creating a receivable from the

client, which threatens independence (e.g., SEC, 1977; The Cohen Commission Report, 1978).151

More recently, low-balling was criticized during the Congressional hearings leading up to the

passage of SOX (SEC, 2000; Turner, 2002).

Several theories explain low-balling. DeAngelo (1981) argues that low-balling arises because

switching costs allow auditors to charge “quasi-rents” on continuing engagements, while Dye

(1991) argues that low-balling arises because these quasi rents cannot be fully disclosed.

Kanodia and Mukherji (1994), on the other hand, argue that low-balling arises from a

combination of the auditor’s private information and switching costs. Finally, another view is

that low-balling results from price competition and the auction nature of audit markets (Elitzuer

and Falk, 1996; Chan, 1999). Predictions from these theories are mixed. DeAngelo (1981)

predicts that low-balling will not impair independence because it is a sunk cost. Others, however,

predict that low-balling will impair independence but only in limited circumstances, such as

when there is lack of consensus on the implementation of accounting standards (Magee and

Tseng, 1990), when bidders underestimate audit costs (Elitzuer and Falk, 1996), or when outside

information discourages auditors’ information gathering (Bagnoli, Penno, and Watts, 2001). Still

others argue that low-balling may actually improve auditor independence because it represents a

151 The SEC prohibits auditors from auditing clients with unpaid audit fees due to this potential threat.

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“bail bond” that can only be refunded if the auditor is retained, which is contingent on the auditor

performing a high quality audit (Lee and Gu, 1998).

Low-balling studies examine whether fees are lower in the initial years of the engagement.

While early studies fail to find low-balling, later studies, using larger samples and public data,

find low-balling, but not consistently.152 Interestingly, while mandatory public disclosure of audit

fees in Australia decreases low-balling, consistent with Dye (1991), low-balling persists after

public fee disclosure in the U.S., consistent with DeAngelo (1981).153 Why these results conflict,

however, is not well understood. We also observe that this literature focuses almost exclusively

on the existence of low-balling, with little attention to whether low-balling affects audit quality.

This seems surprising given that regulators’ primary concern is the threat to audit quality.

Finally, we also observe that fee discounts are only indirect evidence of low-balling. To directly

test low-balling it is necessary to have data on audit costs.

5.2.2.2 Client importance

The nature of the auditor-client relationship presents a natural threat to auditor

independence because auditors have incentives to retain fee-paying clients (Mautz and Sharaf,

1961; DeAngelo, 1981). The financial dependence on “important clients” prompted the Cohen

Commission to conclude that complete auditor independence is a practical impossibility

(AICPA, 1978). Contrary to regulators’ concerns, and consistent with theory (Zhang, 1999),

litigation and reputation concerns may largely offset this threat, because large clients are more

likely to attract scrutiny (Reynolds and Francis, 2001; Bonner, Palmrose, and Young, 1998;

Stice, 1991). If large enough, these concerns may even drive auditors to provide higher audit

152 Simunic (1980), Francis (1984), Palmrose (1986), Simon and Francis (1988), Ettredge and Greenberg (1990), O’Keefe, Simunic and Stein (1994), Walker and Casterella (2000), Craswell and Francis (1999), Ghosh and Lustgarten (2006), Huang, Raghunandan, and Rama (2009). 153 Craswell and Francis (1999), Ghosh and Lustgarten (2006), Huang, Raghunandan, and Rama (2009).

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95

quality for larger clients. Evidence from GCs supports the notion that auditors provide higher

quality to larger clients, with larger clients receiving more GCs across a wide range of

jurisdictions. 154 Evidence from accruals, however, is mixed. While some find that client

importance is negatively related to DAC and loan loss provisions, some find the opposite, and

some find no relation.155

In summary, comparing evidence across GCs and accrual-based audit quality proxies

paints an intuitive explanation of the auditors’ response to client importance. Specifically,

auditors have strong incentives to avoid egregious failures for large clients, such as failing to

issue a GC when one is warranted, since the cost of failure is higher for larger clients. Large

clients, however, tend to have less of an effect on the auditor’s incentives to reduce within-

GAAP manipulations, as reflected in accrual-based proxies.

5.2.2.3 Audit market structure

The market structure literature primarily examines market concentration. Regulators are

concerned that audit market concentration may threaten audit quality because the Big N’s market

dominance may reduce competition, which fosters entrenchment, thereby lowering auditor

incentives to provide high quality (GAO, 2003 and 2008).156 On the other hand, audit market

concentration may also improve audit quality, because threats from client importance decline,

and clients have fewer choices to shop for opinions. The evidence is mixed. Some studies find

that Big N concentration improves audit quality as captured by fewer restatements and increased

154 Reynolds and Francis (2001), Craswell, Stokes, and Laughton (2002), Carcello, Vanstraelen, and Willenborg (2009), Chen, Sun, and Wu (2010), Hope and Langli (2010). 155 Reynolds and Francis (2001), Gaver and Paterson (2007), Choi, Kim and Zang (2010), Kanagaretnam, Krishnan, and Lobo (2010), Chung and Kallapur (2003). 156 However, the relation between audit market concentration and competition is unclear. While concentration may increase barriers to entry, competition is not solely determined by the number of auditors. Consistent with this, while the 1989 Big 8 mergers increases the competitiveness of the merged firms, the demise of Andersen decreases competition (Sullivan, 2002; Kohlbeck, Mayhew, Murphy, and Wilkins, 2008). In addition, Big N concentration is actually accompanied by frequent entry and exit in international markets (Buijink, Maijoor, and Meuwissen, 1998).

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earnings quality; while other studies find that Big N concentration impairs audit quality as

captured by increased earnings management and lower accrual quality.157

Another stream of research examines whether concentration increases audit fees, but

finds little support, and that concentration even lowers fees in some settings.158 Finally, some

studies identify the drivers of audit market concentration, and find that concentration is explained

by client size and structural shifts in audit costs (Doogar and Easley, 1998; Ferguson, Pinnuck,

and Skinner, 2013). In summary, given the limited number of studies and the mixed finings, we

believe additional research is needed in this area.

5.3 Critique and future research on regulators’ concerns about audit quality

While the studies examining the overall effects of SOX yield ambiguous result, this is not

surprising given the number of levers SOX pulls, and the difficulty in predicting how they affect

audit quality. Studies examining SOX’s specific provisions find that regulatory intervention is

associated with improved audit quality, but only in limited settings. Specifically, evidence is

persuasive that audit committee and Section 404 provisions, but not banning NAS, improves

audit quality. Evidence is inconclusive on FAEs and PCAOB inspections and standard setting.

Studies examining perceived threats to audit quality find limited or even contrary evidence.

Specifically, evidence is limited on whether low-balling or opinion shopping impairs audit

quality, and suggests that long tenure and client importance actually improves audit quality. An

important observation is that the audit committee research yields the most unambiguous evidence

of improved audit quality. Notably, the audit committee provisions are intended to increase client

157 For improvement, see Newton, Wang, and Wilkins (2013), Dunn, Kohlbeck, and Mayhew (2013), Kallapur, Sangkaraguruswamy, and Zang (2010). For impairment, see Boone, Khurana, and Raman (2012), Francis, Michas, and Seavey, (2012), Bandyopadhyay and Kao (2001). 158 Simunic (1980), Pearson and Trompeter (1994), Bandyopadhyay and Kao (2004), GAO (2008), Dunn, Kohlbeck, and Mayhew (2013), Carson, Simnett, Soo, and Wright (2012), Ferguson and Stokes (2002).

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97

demand for audit quality by improving their competencies. This contrasts with prior regulatory

interventions that have historically focused on the auditor incentives to supply of audit quality.

Pre-SOX, regulatory intervention generally focused on increasing the supply of audit

quality. Some intervention occurred at the engagement level, through SEC enforcement actions

(AAERs). While AAERs carry severe penalties, they target only the most egregious audit

failures. Intervention also occurred at the audit market level, as a result of pressure from the SEC

and Congress, which often led the self-regulated standard setter to adopt new rules. While new

standards “changed the rules of the game,” they were infrequent and generally incremental.

Post-SOX, however, the risk of regulatory intervention is stronger at both the engagement and

audit market level. At the engagement level, PCAOB inspections are added to the regulatory

arsenal, actively seeking out a wide range of auditor misconduct. At the audit market level,

recent experience suggests that future regulatory intervention is likely to be more frequent and

more severe than in the past, targeting both the auditor’s supply and the client’s demand for audit

quality, competencies as well as incentives.

The effect of accounting and auditing standards on audit quality is also a potentially fruitful

area. Standard setters are often accused of creating accounting rules without considering their

auditing implications. While it is not clear whether these accusations are justified, it suggests

there may be an interaction between accounting standards and audit quality. A case in point is

the trend toward fair value accounting as an underlying feature of the accounting model.

Historically, auditors’ primary differential advantage has been their expertise in verification of

historical cost information. Thus, an important question is whether auditors’ expertise, and hence

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audit quality, is applicable to a fair value accounting model.159 At present there is little or no

research on the role of accounting standard setting in achieving high audit quality.

An important goal of future research is to understand the nature and extent of regulatory

intervention in the new regime. On the supply side, however, a major challenge will be

disentangling the effects of regulatory intervention from the effects of litigation and reputation

risk due to their interrelatedness. Regulatory intervention has spillover effects that exacerbate the

auditor’s exposure to litigation and reputation risk. New regulations provide additional

opportunities for litigation against auditors, which also increases reputation risk. In addition, the

PCAOB inspections provide a new channel for discovering auditor misconduct, which may

increase both legal damages and reputation losses.

Another challenge is that it is impossible to evaluate the net benefits of regulatory

change. While there is evidence that some changes brought about by regulatory intervention have

improved audit quality, there is also evidence that the costs of these changes are high, and it is

not clear if there are net benefits. In addition, although stock market reactions summarize the

perceived benefits and costs of intervention from the investors’ perspective, it does not fully

capture social welfare implications. It may also be premature to draw definitive conclusions

concerning the effects of some of the SOX provisions. This is because many of the provisions

are complex and costly, and it may take time for the audit markets to fully understand their costs

and benefits. This suggests that some of the early research on SOX may benefit from being

revisited. It is also difficult to establish causality in studying changes in the regulatory

environment. For example, the demise of Andersen and the increased scrutiny of the auditing

profession following Enron may have provided auditors with sufficient incentives to improve

159 While there is little archival research on the role of auditing in fair value estimation, there is a large body of experimental work. See Bratten, Gaynor, McDaniel, Montague and Sierra (2013) for a review of that literature.

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99

audit quality even in the absence of regulatory intervention. This suggests that SOX cannot be

viewed simply as an exogenous quasi-experimental shock, and instead is the result of several

factors, including the corporate and audit industry events that occurred around the same time

(Larcker and Rusticus, 2009).

Finally, while US audit markets have recently shifted from self-regulation to government-

regulation, these are not the only models for delivering assurance services. Prior to opting for

self-regulation in 1933, Congress unsuccessfully proposed the removal of auditing from the

private sector altogether, by establishing a “Corps of Government Auditors” (PCAOB, 2007).

While such a model may strengthen auditor independence, it also potentially raises concerns

about auditor competencies. Another alternative is an insurance model, whereby auditing firms

would explicitly reimburse investor losses. However, little is known about the effects of

alternatives to the current model.

6. Conclusions

The last fifteen years have witnessed profound changes to the auditing profession and a

boom in auditing research. A dominant feature of the recent research is its primary focus on audit

quality. We review and critique this research using a robust economics-based framework that

provides insights into the demand and supply of audit quality and the increasing role of

regulatory intervention.

We first provide a comprehensive definition of audit quality, with higher audit quality

providing greater assurance of high financial reporting quality. Our definition reflects audit

quality’s continuous nature, encompasses the auditor’s broad responsibilities, and recognizes

audit quality as a component of financial reporting quality that is bounded by the firm’s reporting

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100

system and innate characteristics. Equipped with this definition, we then provide a framework

for choosing among and evaluating the commonly used audit quality proxies along four

dimensions: directness, egregiousness, actual-or-perceived, and measurement issues. We observe

that the most direct measures of audit quality also capture egregious audit failures but lack the

power to detect more subtle variations in audit quality. While the less direct measures have the

advantage of capturing the continuous nature of audit quality, they are often farther from the

auditor’s influence and also more susceptible to measurement problems. We conclude that

researchers should choose measures across proxy categories, and articulate the inferences that

can and cannot be drawn from the proxies. Because it is inextricably intertwined with financial

reporting quality, audit quality also depends on firms’ innate characteristics and financial

reporting systems. We review the commonly used audit quality models and conclude that future

research would benefit from more conceptual guidance in disentangling these constructs.

The literature on client demand examines both client incentives to demand high audit

quality and client competencies to fulfill their demand. Agency cost incentives are an important

driver of client demand for high audit quality as evidenced by the choice of Big N auditors and

industry specialists. Research on client competencies, although relatively new, is a growing area

that focuses on the mechanisms clients use to meet their demands for audit quality. During the

period of our review, these studies identify numerous audit quality drivers that were previously

virtually unrecognized in the literature, such as audit committee characteristics and the internal

audit function. This research is partly motivated by the shift in regulatory regime from primarily

a supply-side focus to both a supply and demand-side focus, as evidenced by recently mandated

changes to client’s internal control systems and audit committees. This research strongly

supports the important role played by these mechanisms in fulfilling client demand for high

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101

quality auditing. While the literature still focuses primarily on supply-side factors, we encourage

further research that investigates the relatively less understood client incentives and

competencies that drive the demand for audit quality.

For decades, most of the auditing literature focused almost exclusively on studying the

supply of audit quality. This research is relatively mature and has made several significant

contributions in advancing the literature. However, there is limited evidence on the role played

by reputation incentives for auditor independence in the US, and while there is much more

evidence on the role played by litigation incentives for independence, alternative explanations

make these studies difficult to interpret. The Big N literature provides convincing and ample

evidence that Big N auditors provide higher audit quality, although it is unclear whether this is

due to stronger incentives or greater competencies. In addition, more evidence is required to

resolve the unsettled question of whether Big N quality differentiation is actually driven by self-

selection. Research on auditor competency, which is more recent but quite prolific, primarily

studies the effects of industry specialization, auditor office size, and features of the audit process.

Evidence from this research is consistent with auditor competency having a significant effect on

improving audit quality. We encourage researchers to look more closely at the effects of auditor

competencies on audit quality by using a richer set of audit firm, auditor office, and individual

auditor characteristics to capture competency. We also encourage researchers to closely examine

the critical features of the audit process, such as professional skepticism.

Regulatory intervention drives the majority of the archival auditing research in the last

decade and all signs suggest it will continue to do so in the future. This research has been

especially fruitful and appears to inform much of the recent auditing legislation and auditing

standard setting. The recent unprecedented regulatory changes in the US audit markets suggest

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102

that regulatory intervention is likely to be increasingly important. Although it is inconclusive

whether the recent interventions are effective in improving audit quality, especially the overall

effect of SOX, evidence suggests that audit committee provisions increase client demand for

audit quality, and that adverse Section 404 audit opinions trigger subsequent improvements in

monitoring. Notably, both of these mandates focus on client demand, not auditor supply, and

both emphasize client competencies in fulfilling their demand for audit quality. In contrast, there

is little evidence that banning NAS adversely affects audit quality, and some evidence that

certain types of NAS actually improve audit quality.

Similarly, there is little evidence that several commonly perceived threats to audit quality

actually pose serious threats. Importantly, whether these perceived threats impair audit quality

rests on trading off reduced auditor independence with improved auditor competencies. The lack

of evidence on these potential threats suggests that, in these settings, competencies play a larger

role than independence in explaining the supply of audit quality. Thus, we encourage future

research to further explore the relatively under-researched role of auditor competencies on audit

quality. Finally, we observe that the new regulatory environment suggests that regulatory

intervention is likely to play a prominent role in shaping audit quality and recommend additional

research to better understand this relatively new risk that is likely to affect both auditors’ and

clients’ incentives as well as their competencies.

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103

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Page 106: A review of archival auditing research

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Figure 3 The Effect of Audit Quality on Financial Reporting Quality,

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Page 108: A review of archival auditing research

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Table 1 Table of Contents

Section Introduction 1What is audit quality? 2 Defining audit quality 2.1 The relation between audit quality and financial reporting quality 2.2 Measuring audit quality 2.3 Output-based audit quality measures 2.3.1 Input-based audit quality measures 2.3.2 Commonly used audit quality models 2.3.3 Which audit quality measures are best? 2.3.4 What drives client demand for audit quality? 3 The demand for auditing – does auditing add value? 3.1 Evidence from audited versus unaudited financial information 3.1.1 Evidence from auditor communication 3.1.2 Critique and future research on the value of auditing 3.1.3 What drives client demand for audit quality? 3.2 Client incentives to demand high audit quality 3.2.1 Client competencies to fulfill their audit quality demands 3.2.2 Critique and future research on the demand for audit quality 3.2.3 What drives auditor supply of audit quality? 4 Auditor incentives to supply high audit quality 4.1 Reputation risk 4.1.1 Litigation risk 4.1.2 Auditor incentives captured by auditor size 4.1.3 Auditor competencies to deliver high audit quality 4.2 Evidence from auditor industry specialization 4.2.1 Evidence from auditor office size 4.2.2 Evidence from the audit process 4.2.3 Institutions and other factors 4.3 Critique and future research on what drives auditor supply of audit quality 4.4 What are the regulators’ concerns about audit quality? 5 What are the effects of regulatory intervention? 5.1 The effects of pre-SOX regulation 5.1.1 The overall effects of SOX 5.1.2 SOX provisions that intervene the demand for audit quality 5.1.3 SOX provisions that intervene the supply of audit quality 5.1.4 Regulatory concerns about perceived threats to auditor independence 5.2 Perceived threats to auditor independence – client demand-side factors 5.2.1 Perceived threats to auditor independence – auditor supply-side factors 5.2.2 Critique and future research on regulators’ concerns about audit quality 5.3 Conclusion 6

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107

Tab

le 2

A

udit

Qua

lity

Prox

y C

ompa

rativ

e D

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sion

s Pr

oxy

Cat

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y C

omm

only

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d pr

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s D

irec

tnes

s E

greg

ious

ness

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ctua

l vs

. Pe

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ved

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men

t Iss

ues

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que

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ths &

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knes

ses

OU

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EA

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. C

ontin

uous

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nsus

on

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sure

men

t M

easu

rem

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orSt

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ths

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knes

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l mis

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ts

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ts,

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ativ

ely

mor

e di

rect

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elat

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y m

ore

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s A

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l D

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ete

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h Lo

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elat

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rong

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denc

e of

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r aud

it qu

ality

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ture

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ity v

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h qu

ality

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s A

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l D

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nly

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ility

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g qu

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t, A

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al q

ualit

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atis

m

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ativ

ely

less

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ct

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ativ

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egio

us

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ual

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arily

co

ntin

uous

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w

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h

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ghtly

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ed to

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tinuo

us

natu

re o

f aud

it qu

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ests

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ture

s qua

lity

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tion

for a

larg

e nu

mbe

r of f

irms

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rror

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ias

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n m

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ent

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ket r

eact

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ost o

f cap

ital,

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nge

in m

arke

t sh

are,

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AO

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insp

ectio

ns

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ends

on

prox

y

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ree

of

egre

giou

snes

s ca

n be

infe

rred

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rcei

ved

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arily

co

ntin

uous

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epen

ds o

n pr

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high

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.g.,

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res p

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ns o

f us

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uch

as in

vest

ors a

nd

audi

t com

mitt

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ubtle

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uity

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s ref

lect

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ts o

f aud

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ality

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n m

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l D

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., sp

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e bo

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h su

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ts th

is p

rior

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ot c

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re su

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of c

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in

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g sp

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ion

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itor-

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atur

es

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it fe

es,

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nge

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es

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us

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h M

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m

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res q

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f firm

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ions

Page 110: A review of archival auditing research

108

Tab

le 3

C

omm

only

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d A

udit

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lity

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els

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s D

AC

s B

ig N

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109

AppendixTheoretical literature on auditor litigation incentives to supply audit quality

Recent theoretical research primarily investigates two features of the litigation

environment: liability rules and damage awards. The liability rules typically examined are “due

care” and “strict liability.” Under due care, the current liability regime in the US, auditors are

only liable if they are found negligent.160 Under strict liability, auditors are liable irrespective of

negligence as long as damages are proven. The damage award regimes usually studied are “joint-

and-several-liability” and “proportionate liability.” Joint-and-several-liability holds auditors

liable for up to one-hundred percent of the damages when other defendants are unable to pay

their share, even when the auditor is only partially at fault. In contrast, proportionate liability

holds auditors liable only for damages in proportion to their fault. In the US, the Private

Securities Litigation Reform Act of 1995 (PSLRA) replaced the joint-and-several-liability rule

with a hybrid version of the proportionate liability rule, which marked an important reduction in

litigation risk for US auditors (Hillegeist, 1999).

The most frequently addressed question in this literature is whether increased legal liability

leads to increased audit quality. Consistent with intuition, most theory concludes that higher

litigation risk improves audit quality. Studies comparing liability rules generally find that strict

liability induces higher audit quality than due care (Schwartz, 1997; Radhakrishnan, 1999; Zhang

and Thoman, 1999; Liu and Wang, 2006).161 Studies comparing damage award rules find that

proportionate liability reduces audit quality when compared to joint-and-several liability (Chan

160 However, the determination of negligence is not clearly specified and thus the due care regime may also be referred to as a “Vague Negligence” regime (Schwartz, 1997). 161 Dye (1995) suggests that switching from unlimited to limited liability will drive poor auditors out of the market or lower their profit.

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and Pae, 1998; Hillegeist, 1999; Patterson and Wright, 2003).162 There is also evidence that

larger penalties for audit failures (regardless of the legal regime) result in higher audit fees

(Newman, Patterson, and Smith, 2005) and overinvestment in audit effort (Pae and Yoo, 2001);

and that increased liability decreases audit failure (Deng, Melumad, and Shibano, 2012) and

reduces auditor shirking (Zhang, 2007).163

However, several studies also conclude that higher litigation risk actually lowers audit

quality. For example, under joint-and-several liability, high litigation risk may reduce audit

quality when litigation costs are less sensitive to audit effort (Narayanan, 1994), and may

increase audit failure due to management’s strategic reporting (Hillegeist, 1999). In addition,

increasing litigation risk by increasing the number of parties to whom auditors are liable

decreases audit quality (Chan and Wong, 2002). Finally, increased legal liability may simply

drive auditors to report more conservatively (Thoman, 1996; Deng, Melumad, and Shibano,

2012), which potentially reduces financial reporting quality.

Another commonly asked question in this literature is which legal liability regime is

socially optimal. Perhaps not surprisingly, the answer to this much broader question is

inconclusive. With respect to liability rules, one view is that strict liability is socially optimal, as

long as the accompanying damage awards are appropriately set (Schwartz, 1997; Zhang and

Thoman, 1999; Liu and Wang, 2006). Another view is that due care is socially optimal because

strict liability results in larger damage awards and hence higher legal fees, which are deadweight

losses (Radhakrishnan, 1999). With respect to damage awards, Chan and Pae (1998) contend that

162 Melumad and Thoman (1990) show that higher damage award lowers interest rates for good client firms because lenders expect to recover more from the damage award. 163 Smith and Tidrick (1998) study the allocation of legal costs, and find that the UK system, which requires the losing party to pay all legal costs, induces higher audit effort even at lower audit prices under some conditions, when compared to the US system that holds all parties responsible for their own legal costs. However, it is unclear which system imposes higher expected liability on auditors.

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proportionate liability is the socially optimal damage award regime because the higher litigation

costs under joint-and-several liability are greater than the benefits from increased audit effort.

Other studies argue that no single legal system or amount of legal exposure is socially optimal

because they all lead to negative externalities, such as under or over investment in audit

technologies (Pae and Yoo, 2001), wealth transfers from auditors (Schwartz, 1997), or

conflicting changes in audit quality and audit failures (Hillegeist, 1999).

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1. We define higher audit quality as greater assurance of high financial reporting quality.

2. We provide a framework for systematically choosing among the commonly used audit quality proxies and evaluating their results.

3. We review the commonly used audit quality models and conclude that more conceptual guidance is needed to disentangle audit quality from firms’ innate characteristics and financial reporting systems.

4. We encourage future researchers to continue expanding our knowledge of client demand-side factors, and further explore additional factors related to both auditor and client competencies.